Energy function for the one-unit Oja algorithm. - Qingfu Zhang 001; Yiu-Wing Leung (IEEE Trans. Neural Networks, 1995)

A New Evolutionary Model Based on Family Eugenics: the First Results. - Shaoyan Wu; Qingfu Zhang 001; Huowang Chen (International Conference on Evolutionary Computation, 1996)

An orthogonal genetic algorithm for multimedia multicast routing. - Qingfu Zhang 001; Yiu-Wing Leung (IEEE Trans. Evol. Comput., 1999)

A Simplified ICA Based Denoising Method. - Qingfu Zhang 001; Hujun Yin; Nigel M. Allinson (IJCNN (5), 2000)

A class of learning algorithms for principal component analysis and minor component analysis. - Qingfu Zhang 001; Yiu-Wing Leung (IEEE Trans. Neural Networks Learn. Syst., 2000)

On the discrete-time dynamics of a PCA learning algorithm. - Qingfu Zhang 001 (Neurocomputing, 2003)

To understand one-dimensional continuous fitness landscapes by drift analysis. - Jun He 004; Xin Yao 001; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2004)

Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem. - Hui Li 020; Qingfu Zhang 001; Edward P. K. Tsang; John A. Ford (EvoCOP, 2004)

On the convergence of a factorized distribution algorithm with truncation selection. - Qingfu Zhang 001 (Complex., 2004)

On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm. - Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2004)

On the convergence of a class of estimation of distribution algorithms. - Qingfu Zhang 001; Heinz Mühlenbein (IEEE Trans. Evol. Comput., 2004)

A model-based evolutionary algorithm for bi-objective optimization. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Edward P. K. Tsang; Tatsuya Okabe (Congress on Evolutionary Computation, 2005)

A Graph Theoretic Approach to Key Equivalence. - J. Horacio Camacho; Abdellah Salhi; Qingfu Zhang 001 (MICAI, 2005)

DE/EDA: A new evolutionary algorithm for global optimization. - Jianyong Sun; Qingfu Zhang 001; Edward P. K. Tsang (Inf. Sci., 2005)

An evolutionary algorithm with guided mutation for the maximum clique problem. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang (IEEE Trans. Evol. Comput., 2005)

Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang; John A. Ford (Towards a New Evolutionary Computation, 2006)

A Framework for Distributed Simulation of Asynchronous Handshake Circuits. - Elias Tsirogiannis; Georgios Theodoropoulos 001; D. Chen; Qingfu Zhang 001; Lilian Janin; Doug Edwards (Annual Simulation Symposium, 2006)

Iterated Local Search with Guided Mutation. - Qingfu Zhang 001; Jianyong Sun (IEEE Congress on Evolutionary Computation, 2006)

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. - Aimin Zhou; Yaochu Jin; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2006)

Energy-aware Topology Control in Sensor Networks Using Modern Heuristics. - Andreas Konstantinidis 002; Qingfu Zhang 001; Kun Yang 001; Ian Henning (GLOBECOM, 2006)

A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages. - Hui Li 020; Qingfu Zhang 001 (PPSN, 2006)

Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff; Edward P. K. Tsang (PPSN, 2006)

Knowledge Incorporation in Evolutionary Computation [Book Review]. - Qingfu Zhang 001 (IEEE Comput. Intell. Mag., 2006)

Adaptivemodelling strategy for continuous multi-objective optimization. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2007)

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. - Aimin Zhou; Yaochu Jin; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (EMO, 2007)

An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. - Abdellah Salhi; José Antonio Vázquez Rodríguez; Qingfu Zhang 001 (GECCO, 2007)

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff; Edward P. K. Tsang (GECCO, 2007)

On the Performance of Metamodel Assisted MOEA/D. - Wudong Liu; Qingfu Zhang 001; Edward P. K. Tsang; Cao Liu; Botond Virginas (ISICA, 2007)

Energy-aware topology control for wireless sensor networks using memetic algorithms. - Andreas Konstantinidis 002; Kun Yang 001; Hsiao-Hwa Chen; Qingfu Zhang 001 (Comput. Commun., 2007)

Combinations of estimation of distribution algorithms and other techniques. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang (Int. J. Autom. Comput., 2007)

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. - Qingfu Zhang 001; Hui Li 020 (IEEE Trans. Evol. Comput., 2007)

Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints. - Qingfu Zhang 001; Jianyong Sun; Gaoxi Xiao; Edward P. K. Tsang (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. - Yaochu Jin; Aimin Zhou; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (Multiobjective Problem Solving from Nature, 2008)

Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. - Alexander E. I. Brownlee; John A. W. McCall; Qingfu Zhang 001; Deryck Forsyth Brown (IEEE Congress on Evolutionary Computation, 2008)

MOEA/D for flowshop scheduling problems. - Pei-Chann Chang; Shih-Hsin Chen; Qingfu Zhang 001; Jun-Lin Lin (IEEE Congress on Evolutionary Computation, 2008)

Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box. - Wudong Liu; Qingfu Zhang 001; Edward P. K. Tsang; Botond Virginas (IEEE Congress on Evolutionary Computation, 2008)

Combination of EDA and DE for continuous biobjective optimization. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2008)

An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. - Andreas Konstantinidis 002; Kun Yang 001; Qingfu Zhang 001 (GLOBECOM, 2008)

A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems. - Wei Peng 005; Qingfu Zhang 001 (GrC, 2008)

Self-Guided Genetic Algorithm. - Shih-Hsin Chen; Pei-Chann Chang; Qingfu Zhang 001 (ICIC (2), 2008)

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. - Jianyong Sun; Qingfu Zhang 001; Jin Li 005; Xin Yao 001 (Int. J. Comput. Intell. Appl., 2008)

Improving geodesic distance estimation based on locally linear assumption. - Deyu Meng; Yee Leung; Zongben Xu; Tung Fung; Qingfu Zhang 001 (Pattern Recognit. Lett., 2008)

RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. - Qingfu Zhang 001; Aimin Zhou; Yaochu Jin (IEEE Trans. Evol. Comput., 2008)

Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63]. - Qingfu Zhang 001; Aimin Zhou; Yaochu Jin (IEEE Trans. Evol. Comput., 2008)

Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. - Alexander E. I. Brownlee; John A. W. McCall; Siddhartha Shakya; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2009)

Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. - Chih-Ming Chen; Ying-Ping Chen; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2009)

A self-guided genetic algorithm for flowshop scheduling problems. - Shih-Hsin Chen; Pei-Chann Chang; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2009)

A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks. - Andreas Konstantinidis 002; Qingfu Zhang 001; Kun Yang 001 (IEEE Congress on Evolutionary Computation, 2009)

Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. - Wudong Liu; Qingfu Zhang 001; Edward P. K. Tsang; Botond Virginas (IEEE Congress on Evolutionary Computation, 2009)

The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. - Qingfu Zhang 001; Wudong Liu; Hui Li 020 (IEEE Congress on Evolutionary Computation, 2009)

Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling. - Andreas Konstantinidis 002; Kun Yang 001; Qingfu Zhang 001; Fernando Gordejuela-Sanchez (GLOBECOM, 2009)

Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. - Andreas Konstantinidis 002; Kun Yang 001; Qingfu Zhang 001 (ICC, 2009)

An Evolutionary Approach for Survivable Network under SRLG Constraints. - Yueheng Sun; Jianyong Sun; Qingfu Zhang 001 (ICNC (4), 2009)

Recent developments in natural computation. - Jingtao Yao 001; Qingfu Zhang 001; Jingsheng Lei (Neurocomputing, 2009)

Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II. - Hui Li 020; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2009)

Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models. - José Antonio Lozano 001; Qingfu Zhang 001; Pedro Larrañaga (IEEE Trans. Evol. Comput., 2009)

Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin (IEEE Trans. Evol. Comput., 2009)

Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. - Bashar Awwad Shiekh Hasan; John Q. Gan; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2010)

Multi-objective mobile agent-based Sensor Network Routing using MOEA/D. - Andreas Konstantinidis 002; Christoforos Charalambous; Aimin Zhou; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2010)

An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing. - Bo Liu 003; Francisco V. Fernández 001; Qingfu Zhang 001; Murat Pak; Suha Sipahi; Georges G. E. Gielen (IEEE Congress on Evolutionary Computation, 2010)

Population-Based Guided Local Search: Some preliminary experimental results. - Nasser Tairan; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2010)

MOEA/D with NBI-style Tchebycheff approach for portfolio management. - Qingfu Zhang 001; Hui Li 020; Dietmar Maringer; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2010)

A surrogate-assisted evolutionary algorithm for minimax optimization. - Aimin Zhou; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2010)

Reactive Search and Intelligent Optimization (Battiti, R., et al.; 2008) [Book Review]. - Qingfu Zhang 001 (IEEE Comput. Intell. Mag., 2010)

A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks. - Andreas Konstantinidis 002; Kun Yang 001; Qingfu Zhang 001; Demetrios Zeinalipour-Yazti (Comput. Networks, 2010)

Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems. - Shih-Hsin Chen; Min-Chih Chen; Pei-Chann Chang; Qingfu Zhang 001; Yuh-Min Chen (Expert Syst. Appl., 2010)

Two-level evolutionary approach to the survivable mesh-based transport network topological design. - J. Sun; Qingfu Zhang 001; J. Li (J. Heuristics, 2010)

Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model. - Qingfu Zhang 001; Wudong Liu; Edward P. K. Tsang; Botond Virginas (IEEE Trans. Evol. Comput., 2010)

On the limits of effectiveness in estimation of distribution algorithms. - Carlos Echegoyen; Qingfu Zhang 001; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2011)

Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. - Dhish Kumar Saxena; Qingfu Zhang 001; João A. Duro; Ashutosh Tiwari 001 (EMO, 2011)

Interactive MOEA/D for multi-objective decision making. - Maoguo Gong; Fang Liu 001; Wei Zhang 009; Licheng Jiao; Qingfu Zhang 001 (GECCO, 2011)

Spatio-temporal data evolutionary clustering based on MOEA/D. - Jingjing Ma 001; Yanhui Wang; Maoguo Gong; Licheng Jiao; Qingfu Zhang 001 (GECCO (Companion), 2011)

P-GLS-II: an enhanced version of the population-based guided local search. - Nasser Tairan; Qingfu Zhang 001 (GECCO, 2011)

Distribution of Computational Effort in Parallel MOEA/D. - Juan José Durillo; Qingfu Zhang 001; Antonio J. Nebro; Enrique Alba 001 (LION, 2011)

Multiobjective evolutionary algorithms: A survey of the state of the art. - Aimin Zhou; Bo-Yang Qu; Hui Li 020; Shi-Zheng Zhao; Ponnuthurai Nagaratnam Suganthan; Qingfu Zhang 001 (Swarm Evol. Comput., 2011)

Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. - Yong Wang 002; Zixing Cai; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2011)

Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms. - Bo Liu 003; Qingfu Zhang 001; Francisco V. Fernández 001; Georges G. E. Gielen (IEEE Congress on Evolutionary Computation, 2012)

A multiobjective evolutionary algorithm based on decomposition and probability model. - Aimin Zhou; Qingfu Zhang 001; Guixu Zhang (IEEE Congress on Evolutionary Computation, 2012)

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. - Hui Li 020; Xiaolei Su; Zongben Xu; Qingfu Zhang 001 (PPSN (2), 2012)

Network Topology Planning Using MOEA/D with Objective-Guided Operators. - Wei Peng 005; Qingfu Zhang 001 (PPSN (2), 2012)

A Self-guided Genetic Algorithm for permutation flowshop scheduling problems. - Shih-Hsin Chen; Pei-Chann Chang; T. C. E. Cheng; Qingfu Zhang 001 (Comput. Oper. Res., 2012)

Enhancing the search ability of differential evolution through orthogonal crossover. - Yong Wang 002; Zixing Cai; Qingfu Zhang 001 (Inf. Sci., 2012)

Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes. - Shi-Zheng Zhao; Ponnuthurai Nagaratnam Suganthan; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2012)

Multiobjective Memetic Algorithms. - Andrzej Jaszkiewicz; Hisao Ishibuchi; Qingfu Zhang 001 (Handbook of Memetic Algorithms, 2012)

Approximation Model Guided Selection for Evolutionary Multiobjective Optimization. - Aimin Zhou; Qingfu Zhang 001; Guixu Zhang (EMO, 2013)

MOEA/D for traffic grooming in WDM optical networks. - Álvaro Rubio-Largo; Qingfu Zhang 001; Miguel A. Vega-Rodríguez (GECCO, 2013)

Identification of multi-resolution network structures with multi-objective immune algorithm. - Maoguo Gong; Xiaowei Chen; Lijia Ma; Qingfu Zhang 001; Licheng Jiao (Appl. Soft Comput., 2013)

An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation. - Jianyong Sun; Jonathan M. Garibaldi; Natalio Krasnogor; Qingfu Zhang 001 (Evol. Comput., 2013)

MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony. - Liangjun Ke; Qingfu Zhang 001; Roberto Battiti (IEEE Trans. Cybern., 2013)

Fitness Modeling With Markov Networks. - Alexander E. I. Brownlee; John A. W. McCall; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2013)

An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization. - Bo Liu 003; Qingfu Zhang 001; Francisco V. Fernández 001; Georges G. E. Gielen (IEEE Trans. Evol. Comput., 2013)

Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. - Dhish Kumar Saxena; João A. Duro; Ashutosh Tiwari 001; Kalyanmoy Deb; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2013)

MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems. - Ahmad Alhindi; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows. - Liangjun Ke; Huimin Guo; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization. - Yexing Li; Xinye Cai; Zhun Fan; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy. - Hui Li 020; Qingfu Zhang 001; Jingda Deng (IEEE Congress on Evolutionary Computation, 2014)

Behavioral study of the surrogate model-aware evolutionary search framework. - Bo Liu 003; Qin Chen 003; Qingfu Zhang 001; Georges G. E. Gielen; Vic Grout (IEEE Congress on Evolutionary Computation, 2014)

A replacement strategy for balancing convergence and diversity in MOEA/D. - Zhenkun Wang 001; Qingfu Zhang 001; Maoguo Gong; Aimin Zhou (IEEE Congress on Evolutionary Computation, 2014)

Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation. - Ahmad Alhindi; Qingfu Zhang 001; Edward P. K. Tsang (UKCI, 2014)

Enhanced particle swarm optimization based on principal component analysis and line search. - Xinchao Zhao; Wenqiao Lin; Qingfu Zhang 001 (Appl. Math. Comput., 2014)

Machine learning based decision support for many-objective optimization problems. - João A. Duro; Dhish Kumar Saxena; Kalyanmoy Deb; Qingfu Zhang 001 (Neurocomputing, 2014)

Bridging machine learning and evolutionary computation. - Sam Kwong; Qingfu Zhang 001 (Neurocomputing, 2014)

A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks. - Álvaro Rubio-Largo; Qingfu Zhang 001; Miguel A. Vega-Rodríguez (Inf. Sci., 2014)

Hybridization of Decomposition and Local Search for Multiobjective Optimization. - Liangjun Ke; Qingfu Zhang 001; Roberto Battiti (IEEE Trans. Cybern., 2014)

Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem. - Jianyong Sun; Qingfu Zhang 001; Xin Yao 001 (IEEE Trans. Cybern., 2014)

A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization. - Aimin Zhou; Yaochu Jin; Qingfu Zhang 001 (IEEE Trans. Cybern., 2014)

Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition. - Ke Li 001; Álvaro Fialho; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2014)

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. - Ke Li 001; Qingfu Zhang 001; Sam Kwong; Miqing Li; Ran Wang 001 (IEEE Trans. Evol. Comput., 2014)

Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems. - Hai-Lin Liu 001; Fangqing Gu; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2014)

A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems. - Bo Liu 003; Qingfu Zhang 001; Georges G. E. Gielen (IEEE Trans. Evol. Comput., 2014)

On performance of decomposition-based MOEAs in noisy environment. - Qin Chen 003; Cheng Fu; Qingfu Zhang 001 (CEC, 2015)

On the use of random weights in MOEA/D. - Hui Li 020; Min Ding; Jingda Deng; Qingfu Zhang 001 (CEC, 2015)

Evolutionary multiobjective optimization with hybrid selection principles. - Ke Li 001; Kalyanmoy Deb; Qingfu Zhang 001 (CEC, 2015)

Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms. - Rui Wang 017; Qingfu Zhang 001; Tao Zhang 033 (EMO (1), 2015)

Multi-objective Optimization of Barrier Coverage with Wireless Sensors. - Xiao Zhang 006; Yu Zhou 027; Qingfu Zhang 001; Victor C. S. Lee; Minming Li (EMO (2), 2015)

Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. - Zhenkun Wang 001; Qingfu Zhang 001; Hui Li 020 (SMC, 2015)

Two-Level Stable Matching-Based Selection in MOEA/D. - Mengyuan Wu; Sam Kwong; Qingfu Zhang 001; Ke Li 001; Ran Wang 001; Bo Liu 003 (SMC, 2015)

Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. - Yue-Jiao Gong; Wei-Neng Chen; Zhi-Hui Zhan; Jun Zhang 003; Yun Li 002; Qingfu Zhang 001; Jing-Jing Li 002 (Appl. Soft Comput., 2015)

Global path planning of wheeled robots using multi-objective memetic algorithms. - Zexuan Zhu; Jun Xiao; Jian-Qiang Li 001; Fangxiao Wang 001; Qingfu Zhang 001 (Integr. Comput. Aided Eng., 2015)

A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization. - Zhiwei Feng; Qingbin Zhang; Qingfu Zhang 001; Qiangang Tang; Tao Yang; Yang Ma (J. Glob. Optim., 2015)

Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales. - Álvaro Rubio-Largo; Qingfu Zhang 001; Miguel A. Vega-Rodríguez (Soft Comput., 2015)

Interrelationship-Based Selection for Decomposition Multiobjective Optimization. - Ke Li 001; Sam Kwong; Qingfu Zhang 001; Kalyanmoy Deb (IEEE Trans. Cybern., 2015)

An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization. - Xinye Cai; Yexing Li; Zhun Fan; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2015)

An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition. - Ke Li 001; Kalyanmoy Deb; Qingfu Zhang 001; Sam Kwong (IEEE Trans. Evol. Comput., 2015)

An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods. - Aimin Zhou; Jianyong Sun; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2015)

A Multiutility Framework With Application for Studying Tradeoff Between Utility and Lifetime in Wireless Sensor Networks. - Shengbin Liao; Qingfu Zhang 001 (IEEE Trans. Veh. Technol., 2015)

A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables. - Bo Liu 003; Nan Sun 001; Qingfu Zhang 001; Vic Grout; Georges G. E. Gielen (CEC, 2016)

Black-box expensive multiobjective optimization with adaptive in-fill rules. - Qin Chen 003; Bingxiang Long; Qingfu Zhang 001 (CEC, 2016)

A multi-phase multiobjective approach based on decomposition for sparse reconstruction. - Hui Li 020; Yuanyuan Fan; Qingfu Zhang 001; Zongben Xu; Jingda Deng (CEC, 2016)

A decomposition based multiobjective evolutionary algorithm with classification. - Xi Lin 001; Qingfu Zhang 001; Sam Kwong (CEC, 2016)

An evolutionary many-objective optimisation algorithm with adaptive region decomposition. - Hai-Lin Liu 001; Lei Chen 044; Qingfu Zhang 001; Kalyanmoy Deb (CEC, 2016)

A cone order sequence based multi-objective evolutionary algorithm. - Yueming Lyu; Qingfu Zhang 001; Ka-Chun Wong (CEC, 2016)

Adaptive patch-based sparsity estimation for image via MOEA/D. - Yu Zhou 027; Sam Kwong; Qingfu Zhang 001; Mengyuan Wu (CEC, 2016)

Local Search Move Strategies within MOEA/D. - Bilel Derbel; Arnaud Liefooghe; Qingfu Zhang 001; Hernán E. Aguirre; Kiyoshi Tanaka (GECCO (Companion), 2016)

Multi-objective Local Search Based on Decomposition. - Bilel Derbel; Arnaud Liefooghe; Qingfu Zhang 001; Hernán E. Aguirre; Kiyoshi Tanaka (PPSN, 2016)

What Does the Evolution Path Learn in CMA-ES? - Zhenhua Li 005; Qingfu Zhang 001 (PPSN, 2016)

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Kaiwen Hu; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (CoRR, 2016)

Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm. - Jianyong Sun; Hu Zhang 002; Aimin Zhou; Qingfu Zhang 001 (CoRR, 2016)

Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization. - Mengyuan Wu; Ke Li 001; Sam Kwong; Yu Zhou 027; Qingfu Zhang 001 (CoRR, 2016)

A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems. - Bo Liu 003; Slawomir Koziel; Qingfu Zhang 001 (J. Comput. Sci., 2016)

Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems. - Hong Li 007; Qingfu Zhang 001; Qin Chen 003; Li Zhang 051; Yong-Chang Jiao (Knowl. Based Syst., 2016)

Regularity Model for Noisy Multiobjective Optimization. - Handing Wang; Qingfu Zhang 001; Licheng Jiao; Xin Yao 001 (IEEE Trans. Cybern., 2016)

Adaptive Replacement Strategies for MOEA/D. - Zhenkun Wang 001; Qingfu Zhang 001; Aimin Zhou; Maoguo Gong; Licheng Jiao (IEEE Trans. Cybern., 2016)

Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. - Dhish Kumar Saxena; Arnab Sinha; João A. Duro; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2016)

Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods. - Rui Wang 017; Qingfu Zhang 001; Tao Zhang 033 (IEEE Trans. Evol. Comput., 2016)

Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm. - Luping Wang; Qingfu Zhang 001; Aimin Zhou; Maoguo Gong; Licheng Jiao (IEEE Trans. Evol. Comput., 2016)

A Self-Organizing Multiobjective Evolutionary Algorithm. - Hu Zhang 002; Aimin Zhou; Shenmin Song; Qingfu Zhang 001; Xiao Zhi Gao 001; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2016)

Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms. - Aimin Zhou; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2016)

Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray; Qingfu Zhang 001 (CEC, 2017)

An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path. - Zhenhua Li 005; Qingfu Zhang 001 (CEC, 2017)

An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. - Xi Lin 001; Qingfu Zhang 001; Sam Kwong (CEC, 2017)

A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. - Jialong Shi; Qingfu Zhang 001; Bilel Derbel; Arnaud Liefooghe (CEC, 2017)

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. - Mengyuan Wu; Sam Kwong; Yuheng Jia; Ke Li 001; Qingfu Zhang 001 (GECCO, 2017)

On the Use of Dynamic Reference Points in HypE. - Jingda Deng; Qingfu Zhang 001; Hui Li 020 (SEAL, 2017)

Using Parallel Strategies to Speed up Pareto Local Search. - Jialong Shi; Qingfu Zhang 001; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel (SEAL, 2017)

A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization. - Xiaogang Fu; Jianyong Sun; Qingfu Zhang 001 (UKCI, 2017)

A New Steady-State MOEA/D for Sparse Optimization. - Hui Li 020; Jianyong Sun; Yuanyuan Fan; Mingyang Wang; Qingfu Zhang 001 (UKCI, 2017)

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. - Yuan Yuan 004; Yew-Soon Ong; Liang Feng 001; A. Kai Qin; Abhishek Gupta 001; Bingshui Da; Qingfu Zhang 001; Kay Chen Tan; Yaochu Jin; Hisao Ishibuchi (CoRR, 2017)

PPLS/D: Parallel Pareto Local Search based on Decomposition. - Jialong Shi; Qingfu Zhang 001 (CoRR, 2017)

A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation. - Zhenhua Li 005; Qingfu Zhang 001 (CoRR, 2017)

Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems. - Xinsheng Lai; Yuren Zhou; Xiaoyun Xia; Qingfu Zhang 001 (Evol. Comput., 2017)

On the use of two reference points in decomposition based multiobjective evolutionary algorithms. - Zhenkun Wang 001; Qingfu Zhang 001; Hui Li 020; Hisao Ishibuchi; Licheng Jiao (Swarm Evol. Comput., 2017)

Decomposition-Based-Sorting and Angle-Based-Selection for Evolutionary Multiobjective and Many-Objective Optimization. - Xinye Cai; Zhixiang Yang; Zhun Fan; Qingfu Zhang 001 (IEEE Trans. Cybern., 2017)

Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. - Ke Li 001; Kalyanmoy Deb; Qingfu Zhang 001; Qiang Zhang (IEEE Trans. Cybern., 2017)

Biased Multiobjective Optimization and Decomposition Algorithm. - Hui Li 020; Qingfu Zhang 001; Jingda Deng (IEEE Trans. Cybern., 2017)

Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors. - Xiao Zhang 006; Yu Zhou 027; Qingfu Zhang 001; Victor C. S. Lee; Minming Li (IEEE Trans. Cybern., 2017)

A Two-Phase Evolutionary Approach for Compressive Sensing Reconstruction. - Yu Zhou 027; Sam Kwong; Hainan Guo; Xiao Zhang 006; Qingfu Zhang 001 (IEEE Trans. Cybern., 2017)

Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization. - Mengyuan Wu; Ke Li 001; Sam Kwong; Yu Zhou 027; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2017)

Decomposition multi-objective optimisation: current developments and future opportunities. - Ke Li 001; Qingfu Zhang 001 (GECCO (Companion), 2018)

A set-oriented MOEA/D. - Bilel Derbel; Arnaud Liefooghe; Qingfu Zhang 001; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (GECCO, 2018)

Multipopulation evolution framework for multifactorial optimization. - Genghui Li; Qingfu Zhang 001; Weifeng Gao (GECCO (Companion), 2018)

Parallel pareto local search revisited: first experimental results on bi-objective UBQP. - Jialong Shi; Qingfu Zhang 001; Bilel Derbel; Arnaud Liefooghe; Jianyong Sun (GECCO, 2018)

Balancing exploration and exploitation in multiobjective evolutionary optimization. - Jianyong Sun; Hu Zhang 002; Qingfu Zhang 001; Huanhuan Chen (GECCO (Companion), 2018)

A new cooperative framework for parallel trajectory-based metaheuristics. - Jialong Shi; Qingfu Zhang 001 (Appl. Soft Comput., 2018)

Corrigendum to "A new cooperative framework for parallel trajectory-based metaheuristics" [Applied Soft Computing 65 (2018) 374-386]. - Jialong Shi; Qingfu Zhang 001 (Appl. Soft Comput., 2018)

Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search. - Xinye Cai; Haoran Sun; Chunyang Zhu; Zhenyu Li; Qingfu Zhang 001 (CoRR, 2018)

Nonlinear Collaborative Scheme for Deep Neural Networks. - Hui-Ling Zhen; Xi Lin 001; Alan Z. Tang; Zhenhua Li 005; Qingfu Zhang 001; Sam Kwong (CoRR, 2018)

A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. - Xi Lin 001; Hui-Ling Zhen; Zhenhua Li 005; Qingfu Zhang 001; Sam Kwong (CoRR, 2018)

Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives. - Yuanchun Jiang; Yezheng Liu 001; Jennifer Shang; Pinar Yildirim; Qingfu Zhang 001 (Eur. J. Oper. Res., 2018)

EB-GLS: an improved guided local search based on the big valley structure. - Jialong Shi; Qingfu Zhang 001; Edward P. K. Tsang (Memetic Comput., 2018)

MOEA/D with chain-based random local search for sparse optimization. - Hui Li 020; Jianyong Sun; Mingyang Wang; Qingfu Zhang 001 (Soft Comput., 2018)

Special issue on The 17th Annual UK Workshop on Computational Intelligence. - Qingfu Zhang 001; Fei Chao 001 (Soft Comput., 2018)

A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization. - Xinye Cai; Zhiwei Mei; Zhun Fan; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2018)

A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization. - Zhenhua Li 005; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2018)

Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems. - Hai-Lin Liu 001; Lei Chen 044; Qingfu Zhang 001; Kalyanmoy Deb (IEEE Trans. Evol. Comput., 2018)

On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization. - Xiaoliang Ma 001; Qingfu Zhang 001; Guangdong Tian; Junshan Yang; Zexuan Zhu (IEEE Trans. Evol. Comput., 2018)

A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. - Hui Li 020; Qingfu Zhang 001; Jingda Deng; Zong-Ben Xu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions. - Zhonghua Han; Fei Liu 044; Chenzhou Xu; Keshi Zhang; Qingfu Zhang 001 (CEC, 2019)

Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization. - Genghui Li; Qingfu Zhang 001; Jianyong Sun; Zhonghua Han (CEC, 2019)

An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. - Zhenhua Li 005; Jingda Deng; Weifeng Gao; Qingfu Zhang 001; Hai-Lin Liu 001 (CEC, 2019)

MOEA/D with Two Types of Weight Vectors for Handling Constraints. - Qingling Zhu; Qingfu Zhang 001; Qiuzhen Lin; Jianyong Sun (CEC, 2019)

Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D. - Hui Li 020; Jianyong Sun; Qingfu Zhang 001; Yuxiang Shui (EMO, 2019)

Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (EMO, 2019)

Imbalance-aware Pairwise Constraint Propagation. - Hui Liu 032; Yuheng Jia; Junhui Hou; Qingfu Zhang 001 (ACM Multimedia, 2019)

Pareto Multi-Task Learning. - Xi Lin 001; Hui-Ling Zhen; Zhenhua Li 005; Qingfu Zhang 001; Sam Kwong (NeurIPS, 2019)

Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2019)

Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2019)

Balancing exploration and exploitation in multiobjective evolutionary optimization. - Hu Zhang 002; Jianyong Sun; Tonglin Liu; Ke Zhang 020; Qingfu Zhang 001 (Inf. Sci., 2019)

Push and pull search for solving constrained multi-objective optimization problems. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Caimin Wei; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (Swarm Evol. Comput., 2019)

Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm. - Hui Li 020; Jingda Deng; Qingfu Zhang 001; Jianyong Sun (Swarm Evol. Comput., 2019)

Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. - Hui Li 020; Kalyanmoy Deb; Qingfu Zhang 001; Ponnuthurai N. Suganthan; Lei Chen 044 (Swarm Evol. Comput., 2019)

A new learning-based adaptive multi-objective evolutionary algorithm. - Jianyong Sun; Hu Zhang 002; Aimin Zhou; Qingfu Zhang 001; Ke Zhang 020 (Swarm Evol. Comput., 2019)

A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization. - Xinye Cai; Haoran Sun; Qingfu Zhang 001; Yuhua Huang (IEEE Trans. Cybern., 2019)

A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows. - Jiahai Wang; Taiyao Weng; Qingfu Zhang 001 (IEEE Trans. Cybern., 2019)

Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate. - Jingda Deng; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

Evolutionary Many-Objective Optimization Based on Dynamical Decomposition. - Xiaoyu He 001; Yuren Zhou; Zefeng Chen; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. - Hui Li 020; Kalyanmoy Deb; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

A Survey on Cooperative Co-Evolutionary Algorithms. - Xiaoliang Ma 001; Xiaodong Li 001; Qingfu Zhang 001; Ke Tang 001; Zhengping Liang; Weixin Xie; Zexuan Zhu (IEEE Trans. Evol. Comput., 2019)

Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. - Jianyong Sun; Hu Zhang 002; Aimin Zhou; Qingfu Zhang 001; Ke Zhang 020; Zhenbiao Tu; Kai Ye 001 (IEEE Trans. Evol. Comput., 2019)

A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. - Zhenkun Wang 001; Yew-Soon Ong; Jianyong Sun; Abhishek Gupta 001; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

An Effective Ensemble Framework for Multiobjective Optimization. - Wenjun Wang 003; Shaoqiang Yang; Qiuzhen Lin; Qingfu Zhang 001; Ka-Chun Wong; Carlos A. Coello Coello; Jianyong Chen (IEEE Trans. Evol. Comput., 2019)

Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization. - Mengyuan Wu; Ke Li 001; Sam Kwong; Qingfu Zhang 001; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2019)

Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications. - Bo Liu 003; Mobayode O. Akinsolu; Qingfu Zhang 001 (CEC, 2020)

A Novel Hybrid Tabu Search Algorithm With Binary Differential Operator for Knapsack Problems. - Jun Hu; Qingfu Zhang 001; Yong-Chang Jiao (CIS, 2020)

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. - Geoffrey Pruvost; Bilel Derbel; Arnaud Liefooghe; Ke Li 001; Qingfu Zhang 001 (EvoCOP, 2020)

Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. - Nicolas Berveglieri; Bilel Derbel; Arnaud Liefooghe; Hernán E. Aguirre; Qingfu Zhang 001; Kiyoshi Tanaka (GECCO, 2020)

Decomposition multi-objective optimisation: current developments and future opportunities. - Ke Li 001; Qingfu Zhang 001; Saúl Zapotecas Martínez (GECCO Companion, 2020)

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. - Geoffrey Pruvost; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel; Qingfu Zhang 001 (GECCO, 2020)

Controllable Pareto Multi-Task Learning. - Xi Lin 001; Zhiyuan Yang 003; Qingfu Zhang 001; Sam Kwong (CoRR, 2020)

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Caimin Wei; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (Evol. Comput., 2020)

A new replica placement strategy based on multi-objective optimisation for HDFS. - Yangyang Li 001; Mengzhuo Tian; Yang Wang 075; Qingfu Zhang 001; Dhish Kumar Saxena; Licheng Jiao (Int. J. Bio Inspired Comput., 2020)

Variable metric evolution strategies by mutation matrix adaptation. - Zhenhua Li 005; Qingfu Zhang 001 (Inf. Sci., 2020)

Evolution strategies for continuous optimization: A survey of the state-of-the-art. - Zhenhua Li 005; Xi Lin 001; Qingfu Zhang 001; Hai-Lin Liu 001 (Swarm Evol. Comput., 2020)

Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. - Zhenhua Li 005; Qingfu Zhang 001; Xi Lin 001; Hui-Ling Zhen (IEEE Trans. Cybern., 2020)

PPLS/D: Parallel Pareto Local Search Based on Decomposition. - Jialong Shi; Qingfu Zhang 001; Jianyong Sun (IEEE Trans. Cybern., 2020)

Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. - Mengyuan Wu; Ke Li 001; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Cybern., 2020)

Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume. - Jingda Deng; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2020)

A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy. - Qingling Zhu; Qingfu Zhang 001; Qiuzhen Lin (IEEE Trans. Evol. Comput., 2020)

Clustering Ensemble Meets Low-rank Tensor Approximation. - Yuheng Jia; Hui Liu 032; Junhui Hou; Qingfu Zhang 001 (AAAI, 2021)

MOEA/D for Multiple Multi-objective Optimization. - Jingjing Chen; Qingfu Zhang 001; Genghui Li (EMO, 2021)

Multitask Feature Selection for Objective Reduction. - Genghui Li; Qingfu Zhang 001 (EMO, 2021)

Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. - Hui Li 020; Yuxiang Shui; Jianyong Sun; Qingfu Zhang 001 (EMO, 2021)

On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. - Zhenkun Wang 001; Jingda Deng; Qingfu Zhang 001; Qite Yang (EMO, 2021)

Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control. - Meng Xu 009; Qingfu Zhang 001; Jianping Wang 001 (EMO, 2021)

Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection. - Raphaël Cosson; Bilel Derbel; Arnaud Liefooghe; Hernán E. Aguirre; Kiyoshi Tanaka; Qingfu Zhang 001 (EvoCOP, 2021)

Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. - Zhiyu Zhu; Hui Liu 032; Junhui Hou; Huanqiang Zeng; Qingfu Zhang 001 (ICCV, 2021)

Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (Appl. Soft Comput., 2021)

Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods. - Xianpeng Wang 002; Zhiming Dong; Lixin Tang; Qingfu Zhang 001 (CoRR, 2021)

Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. - Jianfei Guo; Zhiyuan Yang 003; Xi Lin 001; Qingfu Zhang 001 (CoRR, 2021)

Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms. - Lei Chen 044; Kalyanmoy Deb; Hai-Lin Liu 001; Qingfu Zhang 001 (Evol. Comput., 2021)

An evolutionary multi-objective optimization framework of discretization-based feature selection for classification. - Yu Zhou 027; Junhao Kang; Sam Kwong; Xu Wang 006; Qingfu Zhang 001 (Swarm Evol. Comput., 2021)

Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. - Zhiyu Zhu; Hui Liu 032; Junhui Hou; Sen Jia 001; Qingfu Zhang 001 (IEEE Trans. Computational Imaging, 2021)

Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

The Collaborative Local Search Based on Dynamic-Constrained Decomposition With Grids for Combinatorial Multiobjective Optimization. - Xinye Cai; Chao Xia; Qingfu Zhang 001; Zhiwei Mei; Han Hu; Lisong Wang; Jun Hu (IEEE Trans. Cybern., 2021)

A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times. - Shengchao Zhou; Lining Xing 001; Xu Zheng; Ni Du; Ling Wang 001; Qingfu Zhang 001 (IEEE Trans. Cybern., 2021)

MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands. - Xingquan Zuo; Xueqing Liu; Qingfu Zhang 001; Weiping Li; Xing Wan; Xinchao Zhao (IEEE Trans. Cybern., 2021)

Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization. - Genghui Li; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. - Xinyan Liang; Qian Guo; Yuhua Qian; Weiping Ding 001; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions. - Jiawei Yuan; Hai-Lin Liu 001; Fangqing Gu; Qingfu Zhang 001; Zhaoshui He (IEEE Trans. Evol. Comput., 2021)

Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm. - Weifeng Gao; Genghui Li; Qingfu Zhang 001; Yuting Luo; Zhenkun Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization. - Bing-Chuan Wang; Han-Xiong Li; Qingfu Zhang 001; Yong Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective. - Shaolong Shi; Yifan Chen 001; Qiang Liu 016; Jurong Ding; Qingfu Zhang 001 (CEC, 2022)

Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. - Raphaël Cosson; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel; Hernán E. Aguirre; Qingfu Zhang 001; Kiyoshi Tanaka (GECCO, 2022)

Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. - Xi Lin 001; Zhiyuan Yang 003; Qingfu Zhang 001 (ICLR, 2022)

EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields. - Zhiyuan Yang 003; Qingfu Zhang 001 (ICONIP (1), 2022)

Pareto Set Learning for Expensive Multi-Objective Optimization. - Xi Lin 001; Zhiyuan Yang 003; Xiaoyuan Zhang; Qingfu Zhang 001 (NeurIPS, 2022)

On Multiobjective Knapsack Problems with Multiple Decision Makers. - Zhen Song; Wenjian Luo; Xin Lin 004; Zeneng She; Qingfu Zhang 001 (SSCI, 2022)

Self-Supervised Symmetric Nonnegative Matrix Factorization. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. - Hui Liu 032; Yuheng Jia; Junhui Hou; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Learning Low-Rank Graph With Enhanced Supervision. - Hui Liu 032; Yuheng Jia; Junhui Hou; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Maximum Entropy Subspace Clustering Network. - Zhihao Peng 002; Yuheng Jia; Hui Liu 032; Junhui Hou; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Cybern., 2022)

A Three-Level Radial Basis Function Method for Expensive Optimization. - Genghui Li; Qingfu Zhang 001; Qiuzhen Lin; Weifeng Gao (IEEE Trans. Cybern., 2022)

Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization. - Jianping Luo; Liang Chen; Xia Li 006; Qingfu Zhang 001 (IEEE Trans. Cybern., 2022)

Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001; Kai Ye 001 (IEEE Trans. Cybern., 2022)

Graph Neural Network Encoding for Community Detection in Attribute Networks. - Jianyong Sun; Wei Zheng 004; Qingfu Zhang 001; Zongben Xu (IEEE Trans. Cybern., 2022)

Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. - Zhenkun Wang 001; Hui-Ling Zhen; Jingda Deng; Qingfu Zhang 001; Xijun Li; Mingxuan Yuan; Jia Zeng (IEEE Trans. Cybern., 2022)

A Penalty-Based Differential Evolution for Multimodal Optimization. - Zhifang Wei; Weifeng Gao; Genghui Li; Qingfu Zhang 001 (IEEE Trans. Cybern., 2022)

Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. - Xinye Cai; Qi Sun; Zhenhua Li 005; Yushun Xiao; Yi Mei 001; Qingfu Zhang 001; Xiaoping Li 001 (IEEE Trans. Evol. Comput., 2022)

Evolutionary Competitive Multitasking Optimization. - Genghui Li; Qingfu Zhang 001; Zhenkun Wang 001 (IEEE Trans. Evol. Comput., 2022)

Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy. - Tongfei Liu; Maoguo Gong; Di Lu 004; Qingfu Zhang 001; Hanhong Zheng; Fenlong Jiang; Mingyang Zhang 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Crowd Counting Via Perspective-Guided Fractional-Dilation Convolution. - Zhaoyi Yan; Ruimao Zhang; Hongzhi Zhang; Qingfu Zhang 001; Wangmeng Zuo (IEEE Trans. Multim., 2022)

A Bi-Objective Learn-and-Deploy Scheduling Method for Bursty and Stochastic Requests on Heterogeneous Cloud Servers. - Xinye Cai; Haiyang Xu; Xiaoping Li 001; Kang Wang; Long Chen 021; Rubén Ruiz García; Qingfu Zhang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Noisy Optimization by Evolution Strategies With Online Population Size Learning. - Zhenhua Li 005; Shuo Zhang; Xinye Cai; Qingfu Zhang 001; Xiaomin Zhu 001; Zhun Fan; Xiuyi Jia (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization. - Jiahai Wang; Yanyue Li; Qingfu Zhang 001; Zizhen Zhang; Shangce Gao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. - Shaolong Shi; Yifan Chen 001; Zhaoyang Jiang; Qiang Liu 016; Jurong Ding; Qingfu Zhang 001 (CEC, 2023)

The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. - Yuxiang Shui; Hui Li 020; Jianyong Sun; Qingfu Zhang 001 (CEC, 2023)

A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. - Yiwen Wang; Fei Liu 044; Qingfu Zhang 001 (CEC, 2023)

Exact Formulas for the Computation of Expected Tchebycheff Improvement. - Liang Zhao; Qingfu Zhang 001 (CEC, 2023)

Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. - Ping Guo 007; Qingfu Zhang 001; Xi Lin 001 (EMO, 2023)

A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. - Fei Liu 044; Qingfu Zhang 001 (EMO, 2023)

Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (GECCO, 2023)

Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images. - Zhiyuan Yang 003; Qingfu Zhang 001 (ICIP, 2023)

Continuation Path Learning for Homotopy Optimization. - Xi Lin 001; Zhiyuan Yang 003; Xiaoyuan Zhang; Qingfu Zhang 001 (ICML, 2023)

Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. - Weiduo Liao; Ying Wei 001; Mingchen Jiang; Qingfu Zhang 001; Hisao Ishibuchi (NeurIPS, 2023)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. - Fu Luo; Xi Lin 001; Fei Liu 044; Qingfu Zhang 001; Zhenkun Wang 001 (NeurIPS, 2023)

Hypervolume Maximization: A Geometric View of Pareto Set Learning. - Xiaoyuan Zhang; Xi Lin 001; Bo Xue 004; Yifan Chen 004; Qingfu Zhang 001 (NeurIPS, 2023)

Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. - Cheng Gong; Lie Meng Pang; Yang Nan 001; Hisao Ishibuchi; Qingfu Zhang 001 (SMC, 2023)

Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (SSCI, 2023)

Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (SSCI, 2023)

Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. - Fei Liu 044; Chengyu Lu; Lin Gui 006; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (CoRR, 2023)

Large Language Model for Multi-objective Evolutionary Optimization. - Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Shunyu Yao 002; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2023)

Evolutionary Pareto Set Learning with Structure Constraints. - Xi Lin 001; Xiaoyuan Zhang; Zhiyuan Yang 003; Qingfu Zhang 001 (CoRR, 2023)

Algorithm Evolution Using Large Language Model. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2023)

A metaheuristic causal discovery method in directed acyclic graphs space. - Xiaohan Liu; Xiaoguang Gao 001; Zidong Wang 002; Xinxin Ru; Qingfu Zhang 001 (Knowl. Based Syst., 2023)

Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. - Jieting Wang; Yuhua Qian; Feijiang Li; Jiye Liang; Qingfu Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. - Zhenkun Wang 001; Qingfu Zhang 001; Yew-Soon Ong; Shunyu Yao 002; Haitao Liu 002; Jianping Luo (IEEE Trans. Cybern., 2023)

Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes. - Shaolong Shi; Yifan Chen 001; Jurong Ding; Qiang Liu 016; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. - Haotian Zhang; Jianyong Sun; Thomas Bäck; Qingfu Zhang 001; Zongben Xu (IEEE Comput. Intell. Mag., 2023)

Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer. - Xianpeng Wang 002; Zhiming Dong; Lixin Tang; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. - Bilel Derbel; Geoffrey Pruvost; Arnaud Liefooghe; Sébastien Vérel; Qingfu Zhang 001 (Appl. Soft Comput., 2023)

Context-content collaborative network for building extraction from high-resolution imagery. - Maoguo Gong; Tongfei Liu; Mingyang Zhang 002; Qingfu Zhang 001; Di Lu 004; Hanhong Zheng; Fenlong Jiang (Knowl. Based Syst., 2023)

Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications. - Pei-Qiu Huang; Yong Wang 002; Kezhi Wang; Qingfu Zhang 001 (IEEE Trans. Cybern., 2023)

Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. - Genghui Li; Zhenkun Wang 001; Qingfu Zhang 001; Jianyong Sun (IEEE Trans. Evol. Comput., 2023)

MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. - Fei Liu 044; Qingfu Zhang 001; Zhonghua Han (Nat. Comput., 2023)

SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. - Zhenhua Li 005; Huilin Cheng; Xinye Cai; Jun Zhao 004; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Neighborhood Information-Based Method for Multivariate Association Mining. - Honghong Cheng; Yuhua Qian; Yingjie Guo; Keyin Zheng; Qingfu Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Continuous Encoding for Overlapping Community Detection in Attributed Network. - Wei Zheng 004; Jianyong Sun; Qingfu Zhang 001; Zongben Xu (IEEE Trans. Cybern., 2023)

Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses. - Hu Peng; Changrong Mei; Sixiang Zhang; Zhongtian Luo; Qingfu Zhang 001; Zhijian Wu (Swarm Evol. Comput., 2023)

Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. - Xinye Cai; Kang Wang; Yi Mei 001; Zhenhua Li 005; Jun Zhao 004; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks. - Pei-Qiu Huang; Qingfu Zhang 001; Yong Wang 002 (IEEE Trans. Evol. Comput., 2023)

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. - Xin Liu 078; Jianyong Sun; Qingfu Zhang 001; Zhenkun Wang 001; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. - Ji Cheng 001; Bo Xue 004; Jiaxiang Yi; Qingfu Zhang 001 (AAAI, 2024)

Multiobjective Lipschitz Bandits under Lexicographic Ordering. - Bo Xue 004; Ji Cheng 001; Fei Liu 044; Yimu Wang; Qingfu Zhang 001 (AAAI, 2024)

Learning Multi-Task Sparse Representation Based on Fisher Information. - Yayu Zhang; Yuhua Qian; Guoshuai Ma; Keyin Zheng; Guoqing Liu; Qingfu Zhang 001 (AAAI, 2024)

Interactive Final Solution Selection in Multi-Objective Optimization. - Cheng Gong; Yang Nan 001; Tianye Shu; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (CEC, 2024)

MOEA/D-CMA Made Better with (l+l)-CMA-ES. - Chengyu Lu; Yilu Liu 002; Qingfu Zhang 001 (CEC, 2024)

On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. - Wei Wang; Jialong Shi; Jianyong Sun; Arnaud Liefooghe; Qingfu Zhang 001; Ye Fan 006 (CEC, 2024)

Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. - Xilei Wu; Pei-Qiu Huang; Linqi Song; Hai-Lin Liu 001; Qingfu Zhang 001 (CEC, 2024)

High-Throughput Multi-Objective Bayesian Optimization using Gradients. - Yiming Yao; Fei Liu 044; Qingfu Zhang 001 (CEC, 2024)

L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. - Ping Guo 007; Fei Liu 044; Xi Lin 001; Qingchuan Zhao; Qingfu Zhang 001 (GECCO Companion, 2024)

Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. - Longcan Chen; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (GECCO, 2024)

Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (GECCO, 2024)

Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (GECCO, 2024)

A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor. - Zhongtian Luo; Jianpeng Xiong; Hu Peng; Gaosheng Zhan; Qingfu Zhang 001; Hui Wang 002; Xinyu Zhou 002; Wei Li 078; Ying Huang 001 (GECCO Companion, 2024)

Smooth Tchebycheff Scalarization for Multi-Objective Optimization. - Xi Lin 001; Xiaoyuan Zhang; Zhiyuan Yang 003; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (ICML, 2024)

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (ICML, 2024)

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. - Dake Bu; Wei Huang 034; Taiji Suzuki; Ji Cheng 001; Qingfu Zhang 001; Zhiqiang Xu 003; Hau-San Wong (ICML, 2024)

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. - Zhe Zhao 008; Pengkun Wang 001; Haibin Wen; Wei Xu; Song Lai 001; Qingfu Zhang 001; Yang Wang 015 (ICML, 2024)

Modified CA-CFAR Detector for Oversampled Sensors. - Fengdeng Gu; Chang Gao 004; Qingfu Zhang 001; Rongrong Wang; Hongwei Liu 001 (ICSPCC, 2024)

Improved Track Initiation for Bistatic Radar on Moving Platforms Using Coupled Position and Doppler Measurements. - Zhihao Lin; Chang Gao 004; Qingfu Zhang 001; Junkun Yan; Tianyi Jia; Hongwei Liu 001 (ICSPCC, 2024)

Prompt Learning for Generalized Vehicle Routing. - Fei Liu 044; Xi Lin 001; Weiduo Liao; Zhenkun Wang 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (IJCAI, 2024)

A Multi-objective Perspective Towards Improving Meta-Generalization. - Weiduo Liao; Ying Wei 001; Qirui Sun; Qingfu Zhang 001; Hisao Ishibuchi (IJCNN, 2024)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. - Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (KDD, 2024)

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network. - Song Lai 001; Mingyang Zhao 001; Zhe Zhao 008; Shi Chang; Xiaohua Yuan; Hongbin Liu 001; Qingfu Zhang 001; Gaofeng Meng (MICCAI (4), 2024)

Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning. - Dake Bu; Wei Huang 034; Andi Han; Atsushi Nitanda; Taiji Suzuki; Qingfu Zhang 001; Hau-San Wong (NeurIPS, 2024)

LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems. - Pengkun Wang 001; Zhe Zhao 008; Haibin Wen; Fanfu Wang; Binwu Wang; Qingfu Zhang 001; Yang Wang 015 (NeurIPS, 2024)

Gliding over the Pareto Front with Uniform Designs. - Xiaoyuan Zhang; Genghui Li; Xi Lin 001; Yichi Zhang; Yifan Chen 004; Qingfu Zhang 001 (NeurIPS, 2024)

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. - Xiaoyuan Zhang; Liang Zhao; Yingying Yu; Xi Lin 001; Yifan Chen 004; Han Zhao 002; Qingfu Zhang 001 (NeurIPS, 2024)

Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts. - Zhe Zhao 008; Haibin Wen; Zikang Wang; Pengkun Wang 001; Fanfu Wang; Song Lai 001; Qingfu Zhang 001; Yang Wang 015 (NeurIPS, 2024)

Panacea: Pareto Alignment via Preference Adaptation for LLMs. - Yifan Zhong; Chengdong Ma; Xiaoyuan Zhang; Ziran Yang; Haojun Chen; Qingfu Zhang 001; Siyuan Qi; Yaodong Yang 001 (NeurIPS, 2024)

LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. - Cheng Gong; Ping Guo 007; Tianye Shu; Qingfu Zhang 001; Hisao Ishibuchi (PPSN (4), 2024)

Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. - Cheng Gong; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (PPSN (4), 2024)

Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. - Yilu Liu 002; Chengyu Lu; Xi Lin 001; Qingfu Zhang 001 (PPSN (4), 2024)

Evolve Cost-Aware Acquisition Functions Using Large Language Models. - Yiming Yao; Fei Liu 044; Ji Cheng 001; Qingfu Zhang 001 (PPSN (2), 2024)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. - Rui Zhang 042; Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (PPSN (2), 2024)

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2024)

PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. - Ping Guo 007; Zhiyuan Yang 001; Xi Lin 001; Qingchuan Zhao; Qingfu Zhang 001 (CoRR, 2024)

L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. - Ping Guo 007; Fei Liu 044; Xi Lin 001; Qingchuan Zhao; Qingfu Zhang 001 (CoRR, 2024)

UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. - Xiaoyuan Zhang; Xi Lin 001; Yichi Zhang; Yifan Chen 001; Qingfu Zhang 001 (CoRR, 2024)

PMGDA: A Preference-based Multiple Gradient Descent Algorithm. - Xiaoyuan Zhang; Xi Lin 001; Qingfu Zhang 001 (CoRR, 2024)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. - Fei Liu 044; Xi Lin 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (CoRR, 2024)

Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. - Ping Guo 007; Cheng Gong; Xi Lin 001; Zhiyuan Yang 001; Qingfu Zhang 001 (CoRR, 2024)

Self-Improved Learning for Scalable Neural Combinatorial Optimization. - Fu Luo; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. - Xiaoyuan Zhang; Liang Zhao; Yingying Yu; Xi Lin 001; Zhenkun Wang 001; Han Zhao 002; Qingfu Zhang 001 (CoRR, 2024)

AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure. - Yu Zhang 226; Kefeng Zheng; Fei Liu 044; Qingfu Zhang 001; Zhenkun Wang 001 (CoRR, 2024)

A Systematic Survey on Large Language Models for Algorithm Design. - Fei Liu 044; Yiming Yao; Ping Guo 007; Zhiyuan Yang 003; Zhe Zhao 008; Xi Lin 001; Xialiang Tong; Mingxuan Yuan; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2024)

CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models. - Ping Guo 007; Qingfu Zhang 001; Xi Lin 001 (CoRR, 2024)

New techniques to improve neighborhood exploration in pareto local search. - Yuhao Kang; Jialong Shi; Jianyong Sun; Qingfu Zhang 001; Ye Fan 006 (Expert Syst. Appl., 2024)

Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm. - Bo Li 004; Jianmei Wang; Chao Song; Zhipeng Yang; Kaifang Wan; Qingfu Zhang 001 (Expert Syst. Appl., 2024)

Incorporating structural constraints into continuous optimization for causal discovery. - Zidong Wang 002; Xiaoguang Gao 001; Xiaohan Liu; Xinxin Ru; Qingfu Zhang 001 (Neurocomputing, 2024)

A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization. - Tenghui Hu; Xianpeng Wang 002; Lixin Tang; Qingfu Zhang 001 (Swarm Evol. Comput., 2024)

Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. - Yalin Wang 003; Xujie Tan; Chenliang Liu; Pei-Qiu Huang; Qingfu Zhang 001; Chunhua Yang 001 (Swarm Evol. Comput., 2024)

A Multiobjective Evolutionary Algorithm for Network Planning in In-Building Distributed Antenna Systems. - Pei-Qiu Huang; Shaoda Zeng; Xilei Wu; Hai-Lin Liu 001; Qingfu Zhang 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models. - Yuxiang Shui; Hui Li 020; Jianyong Sun; Qingfu Zhang 001 (Inf. Sci., 2024)

Objective Extraction for Simplifying Many-Objective Solution Sets. - Genghui Li; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. - Zhenkun Wang 001; Shunyu Yao 002; Genghui Li; Qingfu Zhang 001 (IEEE Trans. Cybern., 2024)

Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001; Haotian Zhang; Ye Fan 006 (IEEE Trans. Cybern., 2024)

Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization. - Liang Zhao; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2024)

ESSR: Evolving Sparse Sharing Representation for Multitask Learning. - Yayu Zhang; Yuhua Qian; Guoshuai Ma; Xinyan Liang; Guoqing Liu; Qingfu Zhang 001; Ke Tang 001 (IEEE Trans. Evol. Comput., 2024)

Discovering Interpretable Latent Space Directions for 3D-Aware Image Generation. - Zhiyuan Yang 003; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A uniform sampling method for permutation space. - Lin Gui 006; Xinyu Li 001; Qingfu Zhang 001; Liang Gao 001 (Ann. Oper. Res., 2024)

Micro Multiobjective Evolutionary Algorithm With Piecewise Strategy for Embedded-Processor-Based Industrial Optimization. - Hu Peng; Fanrong Kong; Qingfu Zhang 001 (IEEE Trans. Cybern., 2024)

A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. - Jingda Deng; Qingfu Zhang 001; Jianyong Sun; Hui Li 020 (IEEE Trans. Evol. Comput., 2024)

Multiobjective Ensemble Learning With Multiscale Data for Product Quality Prediction in Iron and Steel Industry. - Xianpeng Wang 002; Yao Wang; Lixin Tang; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive. - Zhenkun Wang 001; Qingyan Li; Genghui Li; Qingfu Zhang 001 (Appl. Soft Comput., 2024)

Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. - Bo Xue 004; Xi Lin 001; Xiaoyuan Zhang; Qingfu Zhang 001 (AAAI, 2025)

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement. - Jingda Deng; Jianyong Sun; Qingfu Zhang 001; Hui Li 020 (AAAI, 2025)

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. - Song Lai 001; Zhe Zhao 008; Fei Zhu 004; Xi Lin 001; Qingfu Zhang 001; Gaofeng Meng (AAAI, 2025)

Destroy and Repair Using Hyper-Graphs for Routing. - Ke Li 001; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (AAAI, 2025)

Multi-Objective Evolution of Heuristic Using Large Language Model. - Shunyu Yao 002; Fei Liu 044; Xi Lin 001; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (AAAI, 2025)

Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. - Cheng Gong; Ping Guo 007; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (CEC, 2025)

LLM-Driven Neighborhood Search for Efficient Heuristic Design. - Zhuoliang Xie; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (CEC, 2025)

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. - Ping Guo 007; Cheng Gong; Xi Lin 001; Fei Liu 044; Zhichao Lu; Qingfu Zhang 001; Zhenkun Wang 001 (CVPR, 2025)

Large Language Model for Multiobjective Evolutionary Optimization. - Fei Liu 044; Xi Lin 001; Shunyu Yao 002; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (EMO (2), 2025)

Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. - Cheng Gong; Ping Guo 007; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (GECCO, 2025)

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. - Xi Lin 001; Yilu Liu 002; Xiaoyuan Zhang; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (ICLR, 2025)

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. - Fu Luo; Xi Lin 001; Yaoxin Wu; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (ICLR, 2025)

A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP. - Wei Wang; Jialong Shi; Jianyong Sun; Arnaud Liefooghe; Qingfu Zhang 001 (Expert Syst. Appl., 2025)

Surrogate-assisted neural learning and evolutionary optimization for expensive constrained multi-objective problems. - Wenji Li; Yifeng Qiu; Zhaojun Wang; Biao Xu; Zhifeng Hao; Qingfu Zhang 001; Yun Li 002; Zhun Fan (Swarm Evol. Comput., 2025)

Exploring high-dimensional optimization by sparse and low-rank evolution strategy. - Zhenhua Li 005; Wei Wu; Qingfu Zhang 001; Xinye Cai (Swarm Evol. Comput., 2025)

Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection. - Tongfei Liu; Mingyang Zhang 002; Maoguo Gong; Qingfu Zhang 001; Fenlong Jiang; Hanhong Zheng; Di Lu 004 (IEEE Trans. Image Process., 2025)

A Distributed Multi-Objective Detection Method for Multi-Sensor Systems With Unknown Local SNR. - Chang Gao 004; Qingfu Zhang 001; Pramod K. Varshney; Xi Lin 001; Hongwei Liu 001 (IEEE Trans. Signal Process., 2025)

Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond. - Weiyu Chen; Xiaoyuan Zhang; Baijiong Lin; Xi Lin 001; Han Zhao 002; Qingfu Zhang 001; James T. Kwok (CoRR, 2025)

Adaptive Multi/Many-Objective Transformation for Constrained Optimization. - Genghui Li; Zhenkun Wang 001; Weifeng Gao; Laizhong Cui; Qingfu Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Destroy and Repair Using Hyper Graphs for Routing. - Ke Li 001; Fei Liu 044; Zhengkun Wang; Qingfu Zhang 001 (CoRR, 2025)

A Bi-Learning Evolutionary Algorithm for Transportation-Constrained and Distributed Energy-Efficient Flexible Scheduling. - Zixiao Pan; Ling Wang 001; Jingjing Wang; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2025)

Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer. - Hu Peng; Zhongtian Luo; Tian Fang; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2025)

From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution. - Zhe Zhao 008; Haibin Wen; Pengkun Wang 001; Ye Wei; Zaixi Zhang; Xi Lin 001; Fei Liu 044; Bo An 001; Hui Xiong 001; Yang Wang 015; Qingfu Zhang 001 (CoRR, 2025)

Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. - Zhe Zhao 008; Pengkun Wang 001; Xu Wang 029; Haibin Wen; Xiaolong Xie; Zhengyang Zhou; Qingfu Zhang 001; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning. - Yiting Wang; Wanghao Ye; Ping Guo 007; Yexiao He; Ziyao Wang; Bowei Tian; Shwai He; Guoheng Sun; Zheyu Shen; Sihan Chen; Ankur Srivastava 001; Qingfu Zhang 001; et al. (CoRR, 2025)

Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search. - Fei Liu 044; Qingfu Zhang 001; Xialiang Tong; Kun Mao 001; Mingxuan Yuan (CoRR, 2025)

Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing. - Fei Liu 044; Qingfu Zhang 001; Qingling Zhu; Xialiang Tong; Mingxuan Yuan (IEEE Trans. Evol. Comput., 2025)

Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. - Ping Guo 007; Cheng Gong; Xi Lin 001; Zhiyuan Yang 003; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation. - Haokun Lin; Teng Wang; Yixiao Ge; Yuying Ge; Zhichao Lu; Ying Wei 001; Qingfu Zhang 001; Zhenan Sun; Ying Shan (CoRR, 2025)

Learning to Insert for Constructive Neural Vehicle Routing Solver. - Fu Luo; Xi Lin 001; Mengyuan Zhong; Fei Liu 044; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2025)

Trajectory Planning for UAV Swarm Tracking Moving Target Based on an Improved Model Predictive Control Fusion Algorithm. - Chao Song; Xinyu Zhang; Yang She; Bo Li 004; Qingfu Zhang 001 (IEEE Internet Things J., 2025)

Dealing With Structure Constraints in Evolutionary Pareto Set Learning. - Xi Lin 001; Xiaoyuan Zhang; Zhiyuan Yang 003; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2025)

Solving Multiobjective Combinatorial Optimization via Learning to Improve Method. - Te Ye; Zizhen Zhang; Qingfu Zhang 001; Jinbiao Chen; Jiahai Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

LRM-1B: Towards Large Routing Model. - Han Li; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2025)

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training. - Song Lai 001; Haohan Zhao; Rong Feng; Changyi Ma; Wenzhuo Liu; Hongbo Zhao 006; Xi Lin 001; Dong Yi; Min Xie; Qingfu Zhang 001; Hongbin Liu 001; Gaofeng Meng; et al. (CoRR, 2025)

Fine-tuning Large Language Model for Automated Algorithm Design. - Fei Liu 044; Rui Zhang 042; Xi Lin 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2025)

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning. - Ziru Liu; Cheng Gong; Xinyu Fu 013; Yaofang Liu; Ran Chen; Shoubo Hu; Suiyun Zhang; Rui Liu; Qingfu Zhang 001; Dandan Tu (CoRR, 2025)

EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design. - Fei Liu 044; Yilu Liu 002; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (CoRR, 2025)

Discovering Interpretable Programmatic Policies via Multimodal LLM-assisted Evolutionary Search. - Qinglong Hu; Xialiang Tong; Mingxuan Yuan; Fei Liu 044; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2025)

Provable In-Context Vector Arithmetic via Retrieving Task Concepts. - Dake Bu; Wei Huang 034; Andi Han; Atsushi Nitanda; Qingfu Zhang 001; Hau-San Wong; Taiji Suzuki (CoRR, 2025)

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code. - Ping Guo 007; Yiting Wang; Wanghao Ye; Yexiao He; Ziyao Wang; Xiaopeng Dai; Ang Li 005; Qingfu Zhang 001 (CoRR, 2025)

Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Ziyu Guo; Renrui Zhang; Zhichao Lu; Ying Wei 001; Qingfu Zhang 001; Zhenan Sun (CoRR, 2025)

Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree. - Jingda Deng; Jianyong Sun; Qingfu Zhang 001; Hui Li 020 (IEEE Trans. Evol. Comput., 2025)