Qingfu Zhang

According to our database1, Qingfu Zhang authored at least 236 papers between 1995 and 2021.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2017, "For contributions to multi-objective evolutionary computation methodologies".

Timeline

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Bibliography

2021
Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions.
IEEE Trans. Evol. Comput., 2021

A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times.
IEEE Trans. Cybern., 2021

An evolutionary multi-objective optimization framework of discretization-based feature selection for classification.
Swarm Evol. Comput., 2021

Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods.
CoRR, 2021

2020
A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy.
IEEE Trans. Evol. Comput., 2020

Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume.
IEEE Trans. Evol. Comput., 2020

Evolutionary Many-Objective Optimization Based on Adversarial Decomposition.
IEEE Trans. Cybern., 2020

PPLS/D: Parallel Pareto Local Search Based on Decomposition.
IEEE Trans. Cybern., 2020

Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization.
IEEE Trans. Cybern., 2020

Evolution strategies for continuous optimization: A survey of the state-of-the-art.
Swarm Evol. Comput., 2020

Variable metric evolution strategies by mutation matrix adaptation.
Inf. Sci., 2020

A new replica placement strategy based on multi-objective optimisation for HDFS.
Int. J. Bio Inspired Comput., 2020

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit.
Evol. Comput., 2020

Clustering Ensemble Meets Low-rank Tensor Approximation.
CoRR, 2020

Maximum Entropy Subspace Clustering Network.
CoRR, 2020

Controllable Pareto Multi-Task Learning.
CoRR, 2020

Graph Neural Network Encoding for Community Detection in Attribute Networks.
CoRR, 2020

Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation.
CoRR, 2020

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Decomposition multi-objective optimisation: current developments and future opportunities.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

An Effective Ensemble Framework for Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.
IEEE Trans. Evol. Comput., 2019

Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2019

A Survey on Cooperative Co-Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2019

Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm.
IEEE Trans. Evol. Comput., 2019

Evolutionary Many-Objective Optimization Based on Dynamical Decomposition.
IEEE Trans. Evol. Comput., 2019

Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate.
IEEE Trans. Evol. Comput., 2019

A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows.
IEEE Trans. Cybern., 2019

A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization.
IEEE Trans. Cybern., 2019

A new learning-based adaptive multi-objective evolutionary algorithm.
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.
Swarm Evol. Comput., 2019

Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm.
Swarm Evol. Comput., 2019

Push and pull search for solving constrained multi-objective optimization problems.
Swarm Evol. Comput., 2019

Balancing exploration and exploitation in multiobjective evolutionary optimization.
Inf. Sci., 2019

Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition.
CoRR, 2019

Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem.
CoRR, 2019

Pareto Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Imbalance-aware Pairwise Constraint Propagation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

MOEA/D with Two Types of Weight Vectors for Handling Constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2018

Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems.
IEEE Trans. Evol. Comput., 2018

A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput., 2018

A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2018

Special issue on The 17th Annual UK Workshop on Computational Intelligence.
Soft Comput., 2018

MOEA/D with chain-based random local search for sparse optimization.
Soft Comput., 2018

EB-GLS: an improved guided local search based on the big valley structure.
Memetic Comput., 2018

Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives.
Eur. J. Oper. Res., 2018

A Batched Scalable Multi-Objective Bayesian Optimization Algorithm.
CoRR, 2018

Nonlinear Collaborative Scheme for Deep Neural Networks.
CoRR, 2018

Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search.
CoRR, 2018

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

A new cooperative framework for parallel trajectory-based metaheuristics.
Appl. Soft Comput., 2018

Balancing exploration and exploitation in multiobjective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Parallel pareto local search revisited: first experimental results on bi-objective UBQP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Multipopulation evolution framework for multifactorial optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A set-oriented MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Decomposition multi-objective optimisation: current developments and future opportunities.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2017

A Two-Phase Evolutionary Approach for Compressive Sensing Reconstruction.
IEEE Trans. Cybern., 2017

Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors.
IEEE Trans. Cybern., 2017

Biased Multiobjective Optimization and Decomposition Algorithm.
IEEE Trans. Cybern., 2017

Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2017

Decomposition-Based-Sorting and Angle-Based-Selection for Evolutionary Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern., 2017

On the use of two reference points in decomposition based multiobjective evolutionary algorithms.
Swarm Evol. Comput., 2017

Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems.
Evol. Comput., 2017

A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation.
CoRR, 2017

PPLS/D: Parallel Pareto Local Search based on Decomposition.
CoRR, 2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017

A New Steady-State MOEA/D for Sparse Optimization.
Proceedings of the Advances in Computational Intelligence Systems, 2017

A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization.
Proceedings of the Advances in Computational Intelligence Systems, 2017

Using Parallel Strategies to Speed up Pareto Local Search.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

On the Use of Dynamic Reference Points in HypE.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2016

A Self-Organizing Multiobjective Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2016

Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2016

Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods.
IEEE Trans. Evol. Comput., 2016

Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2016

Adaptive Replacement Strategies for MOEA/D.
IEEE Trans. Cybern., 2016

Regularity Model for Noisy Multiobjective Optimization.
IEEE Trans. Cybern., 2016

Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems.
Knowl. Based Syst., 2016

A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems.
J. Comput. Sci., 2016

Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization.
CoRR, 2016

Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm.
CoRR, 2016

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit.
CoRR, 2016

What Does the Evolution Path Learn in CMA-ES?
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Multi-objective Local Search Based on Decomposition.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Local Search Move Strategies within MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Adaptive patch-based sparsity estimation for image via MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A cone order sequence based multi-objective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An evolutionary many-objective optimisation algorithm with adaptive region decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A decomposition based multiobjective evolutionary algorithm with classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A multi-phase multiobjective approach based on decomposition for sparse reconstruction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Black-box expensive multiobjective optimization with adaptive in-fill rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Multiutility Framework With Application for Studying Tradeoff Between Utility and Lifetime in Wireless Sensor Networks.
IEEE Trans. Veh. Technol., 2015

An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods.
IEEE Trans. Evol. Comput., 2015

An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition.
IEEE Trans. Evol. Comput., 2015

An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization.
IEEE Trans. Evol. Comput., 2015

Interrelationship-Based Selection for Decomposition Multiobjective Optimization.
IEEE Trans. Cybern., 2015

Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales.
Soft Comput., 2015

A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization.
J. Glob. Optim., 2015

Global path planning of wheeled robots using multi-objective memetic algorithms.
Integr. Comput. Aided Eng., 2015

Distributed evolutionary algorithms and their models: A survey of the state-of-the-art.
Appl. Soft Comput., 2015

Two-Level Stable Matching-Based Selection in MOEA/D.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Multi-objective Optimization of Barrier Coverage with Wireless Sensors.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Evolutionary multiobjective optimization with hybrid selection principles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

On the use of random weights in MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

On performance of decomposition-based MOEAs in noisy environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems.
IEEE Trans. Evol. Comput., 2014

Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems.
IEEE Trans. Evol. Comput., 2014

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2014

Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Evol. Comput., 2014

A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2014

Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem.
IEEE Trans. Cybern., 2014

Hybridization of Decomposition and Local Search for Multiobjective Optimization.
IEEE Trans. Cybern., 2014

A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks.
Inf. Sci., 2014

Bridging machine learning and evolutionary computation.
Neurocomputing, 2014

Machine learning based decision support for many-objective optimization problems.
Neurocomputing, 2014

Enhanced particle swarm optimization based on principal component analysis and line search.
Appl. Math. Comput., 2014

Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

A replacement strategy for balancing convergence and diversity in MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Behavioral study of the surrogate model-aware evolutionary search framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms.
IEEE Trans. Evol. Comput., 2013

An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization.
IEEE Trans. Evol. Comput., 2013

Fitness Modeling With Markov Networks.
IEEE Trans. Evol. Comput., 2013

MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony.
IEEE Trans. Cybern., 2013

An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation.
Evol. Comput., 2013

Identification of multi-resolution network structures with multi-objective immune algorithm.
Appl. Soft Comput., 2013

MOEA/D for traffic grooming in WDM optical networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Approximation Model Guided Selection for Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
Multiobjective Memetic Algorithms.
Proceedings of the Handbook of Memetic Algorithms, 2012

Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes.
IEEE Trans. Evol. Comput., 2012

Enhancing the search ability of differential evolution through orthogonal crossover.
Inf. Sci., 2012

A Self-guided Genetic Algorithm for permutation flowshop scheduling problems.
Comput. Oper. Res., 2012

Network Topology Planning Using MOEA/D with Objective-Guided Operators.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A multiobjective evolutionary algorithm based on decomposition and probability model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters.
IEEE Trans. Evol. Comput., 2011

Multiobjective evolutionary algorithms: A survey of the state of the art.
Swarm Evol. Comput., 2011

Distribution of Computational Effort in Parallel MOEA/D.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

P-GLS-II: an enhanced version of the population-based guided local search.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Spatio-temporal data evolutionary clustering based on MOEA/D.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Interactive MOEA/D for multi-objective decision making.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

On the limits of effectiveness in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model.
IEEE Trans. Evol. Comput., 2010

Two-level evolutionary approach to the survivable mesh-based transport network topological design.
J. Heuristics, 2010

Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems.
Expert Syst. Appl., 2010

A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks.
Comput. Networks, 2010

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

A surrogate-assisted evolutionary algorithm for minimax optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

MOEA/D with NBI-style Tchebycheff approach for portfolio management.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Population-Based Guided Local Search: Some preliminary experimental results.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Multi-objective mobile agent-based Sensor Network Routing using MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm.
IEEE Trans. Evol. Comput., 2009

Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models.
IEEE Trans. Evol. Comput., 2009

Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II.
IEEE Trans. Evol. Comput., 2009

Recent developments in natural computation.
Neurocomputing, 2009

An Evolutionary Approach for Survivable Network under SRLG Constraints.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks.
Proceedings of IEEE International Conference on Communications, 2009

Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A self-guided genetic algorithm for flowshop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Structure learning and optimisation in a Markov-network based estimation of distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63].
IEEE Trans. Evol. Comput., 2008

RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm.
IEEE Trans. Evol. Comput., 2008

Improving geodesic distance estimation based on locally linear assumption.
Pattern Recognit. Lett., 2008

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design.
Int. J. Comput. Intell. Appl., 2008

Self-Guided Genetic Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

Combination of EDA and DE for continuous biobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

MOEA/D for flowshop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms.
Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007
Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints.
IEEE Trans. Syst. Man Cybern. Part B, 2007

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Evol. Comput., 2007

Combinations of estimation of distribution algorithms and other techniques.
Int. J. Autom. Comput., 2007

Energy-aware topology control for wireless sensor networks using memetic algorithms.
Comput. Commun., 2007

On the Performance of Metamodel Assisted MOEA/D.
Proceedings of the Advances in Computation and Intelligence, 2007

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Adaptivemodelling strategy for continuous multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Knowledge Incorporation in Evolutionary Computation [Book Review].
IEEE Comput. Intell. Mag., 2006

Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping.
Proceedings of the Parallel Problem Solving from Nature, 2006

A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages.
Proceedings of the Parallel Problem Solving from Nature, 2006

Energy-aware Topology Control in Sensor Networks Using Modern Heuristics.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Iterated Local Search with Guided Mutation.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Framework for Distributed Simulation of Asynchronous Handshake Circuits.
Proceedings of the Proceedings 39th Annual Simulation Symposium (ANSS-39 2006), 2006

Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem.
Proceedings of the Towards a New Evolutionary Computation, 2006

2005
An evolutionary algorithm with guided mutation for the maximum clique problem.
IEEE Trans. Evol. Comput., 2005

DE/EDA: A new evolutionary algorithm for global optimization.
Inf. Sci., 2005

A Graph Theoretic Approach to Key Equivalence.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

A model-based evolutionary algorithm for bi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
On the convergence of a class of estimation of distribution algorithms.
IEEE Trans. Evol. Comput., 2004

On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm.
IEEE Trans. Evol. Comput., 2004

On the convergence of a factorized distribution algorithm with truncation selection.
Complex., 2004

Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2004

To understand one-dimensional continuous fitness landscapes by drift analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
On the discrete-time dynamics of a PCA learning algorithm.
Neurocomputing, 2003

2000
A class of learning algorithms for principal component analysis and minor component analysis.
IEEE Trans. Neural Networks Learn. Syst., 2000

A Simplified ICA Based Denoising Method.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
An orthogonal genetic algorithm for multimedia multicast routing.
IEEE Trans. Evol. Comput., 1999

1996
A New Evolutionary Model Based on Family Eugenics: the First Results.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995
Energy function for the one-unit Oja algorithm.
IEEE Trans. Neural Networks, 1995


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