Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. - Shengxiang Yang; Dingwei Wang (IEEE Trans. Neural Networks Learn. Syst., 2000)

A new adaptive neural network and heuristics hybrid approach for job-shop scheduling. - Shengxiang Yang; Dingwei Wang (Comput. Oper. Res., 2001)

Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms. - Shengxiang Yang (GECCO, 2002)

Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms. - Shengxiang Yang (GECCO Late Breaking Papers, 2002)

Non-stationary problem optimization using the primal-dual genetic algorithm. - Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2003)

Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms. - Shengxiang Yang (GECCO, 2003)

PDGA: the Primal-Dual Genetic Algorithm. - Shengxiang Yang (HIS, 2003)

Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms. - Shengxiang Yang (SGAI Conf., 2003)

Constructing dynamic test environments for genetic algorithms based on problem difficulty. - Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2004)

Genetic algorithms with self-organized criticality for dynamic optimization problems. - Renato Tinós; Shengxiang Yang (Congress on Evolutionary Computation, 2005)

Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems. - Shengxiang Yang (Congress on Evolutionary Computation, 2005)

Population-based incremental learning with memory scheme for changing environments. - Shengxiang Yang (GECCO, 2005)

Memory-based immigrants for genetic algorithms in dynamic environments. - Shengxiang Yang (GECCO, 2005)

Evolutionary algorithms for dynamic optimization problems: workshop preface. - Shengxiang Yang; Jürgen Branke (GECCO Workshops, 2005)

An Improved Adaptive Neural Network for Job-Shop Scheduling. - Shengxiang Yang (SMC, 2005)

Experimental study on population-based incremental learning algorithms for dynamic optimization problems. - Shengxiang Yang; Xin Yao 001 (Soft Comput., 2005)

On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments. - Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2006)

Associative Memory Scheme for Genetic Algorithms in Dynamic Environments. - Shengxiang Yang (EvoWorkshops, 2006)

Dominance learning in diploid genetic algorithms for dynamic optimization problems. - Shengxiang Yang (GECCO, 2006)

A comparative study of immune system based genetic algorithms in dynamic environments. - Shengxiang Yang (GECCO, 2006)

Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach. - Shengxiang Yang (IJCNN, 2006)

Adaptive mutation with fitness and allele distribution correlation for genetic algorithms. - Shengxiang Yang; Sima Uyar (SAC, 2006)

Editorial to special issue on evolutionary computation in dynamic and uncertain environments. - Shengxiang Yang; Yew-Soon Ong; Yaochu Jin (Genet. Program. Evolvable Mach., 2006)

Self-adaptation of mutation distribution in evolutionary algorithms. - Renato Tinós; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2007)

Continuous dynamic problem generators for evolutionary algorithms. - Renato Tinós; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2007)

Triggered Memory-Based Swarm Optimization in Dynamic Environments. - Hongfeng Wang; Dingwei Wang; Shengxiang Yang (EvoWorkshops, 2007)

Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems. - Shengxiang Yang (EvoWorkshops, 2007)

A self-organizing random immigrants genetic algorithm for dynamic optimization problems. - Renato Tinós; Shengxiang Yang (Genet. Program. Evolvable Mach., 2007)

A hybrid immigrants scheme for genetic algorithms in dynamic environments. - Shengxiang Yang; Renato Tinós (Int. J. Autom. Comput., 2007)

Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments. - Renato Tinós; Shengxiang Yang (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments. - Shengxiang Yang (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Evolutionary programming with q-Gaussian mutation for dynamic optimization problems. - Renato Tinós; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2008)

A multi-agent based evolutionary algorithm in non-stationary environments. - Yang Yan; Hongfeng Wang; Dingwei Wang; Shengxiang Yang; Dazhi Wang (IEEE Congress on Evolutionary Computation, 2008)

Hyper-selection in dynamic environments. - Shengxiang Yang; Renato Tinós (IEEE Congress on Evolutionary Computation, 2008)

Compound Particle Swarm Optimization in Dynamic Environments. - Lili Liu; Dingwei Wang; Shengxiang Yang (EvoWorkshops, 2008)

Memory Based on Abstraction for Dynamic Fitness Functions. - Hendrik Richter 001; Shengxiang Yang (EvoWorkshops, 2008)

Fast Multi-Swarm Optimization for Dynamic Optimization Problems. - Changhe Li; Shengxiang Yang (ICNC (7), 2008)

Learning in Abstract Memory Schemes for Dynamic Optimization. - Hendrik Richter 001; Shengxiang Yang (ICNC (1), 2008)

A Memetic Algorithm for the University Course Timetabling Problem. - Sadaf Naseem Jat; Shengxiang Yang (ICTAI (1), 2008)

A Review of Personal Communications Services. - Hui Cheng; Xingwei Wang 001; Min Huang 001; Shengxiang Yang (ICYCS, 2008)

Particle Filter with Swarm Move for Optimization. - Chunlin Ji; Yangyang Zhang; Mengmeng Tong; Shengxiang Yang (PPSN, 2008)

Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing. - Hui Cheng; Shengxiang Yang (SEAL, 2008)

An Island Based Hybrid Evolutionary Algorithm for Optimization. - Changhe Li; Shengxiang Yang (SEAL, 2008)

A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. - Changhe Li; Shengxiang Yang (SEAL, 2008)

Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments. - Shengxiang Yang (Evol. Comput., 2008)

Population-Based Incremental Learning With Associative Memory for Dynamic Environments. - Shengxiang Yang; Xin Yao 001 (IEEE Trans. Evol. Comput., 2008)

Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks. - Hui Cheng; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2009)

An adaptive learning particle swarm optimizer for function optimization. - Changhe Li; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2009)

A clustering particle swarm optimizer for dynamic optimization. - Changhe Li; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2009)

Hyper-learning for population-based incremental learning in dynamic environments. - Shengxiang Yang; Hendrik Richter 001 (IEEE Congress on Evolutionary Computation, 2009)

An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems. - Lili Liu; Dingwei Wang; Shengxiang Yang (EvoWorkshops, 2009)

Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search. - Hui Cheng; Shengxiang Yang (ICNC (4), 2009)

A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks. - Hui Cheng; Xingwei Wang 001; Shengxiang Yang; Min Huang 001 (Appl. Soft Comput., 2009)

Learning behavior in abstract memory schemes for dynamic optimization problems. - Hendrik Richter 001; Shengxiang Yang (Soft Comput., 2009)

A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems. - Hongfeng Wang; Dingwei Wang; Shengxiang Yang (Soft Comput., 2009)

Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments. - Hongfeng Wang; Shengxiang Yang; W. H. Ip; Dingwei Wang (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility. - Hui Cheng; Jiannong Cao 001; Xingwei Wang 001; Sajal K. Das 001; Shengxiang Yang (Wirel. Commun. Mob. Comput., 2009)

A hybrid genetic algorithm and inver over approach for the travelling salesman problem. - Shakeel Arshad; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2010)

Adaptive learning particle swarm optimizer-II for global optimization. - Changhe Li; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2010)

Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. - Hui Cheng; Shengxiang Yang (EvoApplications (1), 2010)

A Directed Mutation Operator for Real Coded Genetic Algorithms. - Imtiaz Ali Korejo; Shengxiang Yang; Changhe Li (EvoApplications (1), 2010)

Ant Colony Optimization with Immigrants Schemes in Dynamic Environments. - Michalis Mavrovouniotis; Shengxiang Yang (PPSN (2), 2010)

An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. - Renato Tinós; Shengxiang Yang (PPSN (1), 2010)

Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems. - Renato Tinós; Shengxiang Yang (SBRN, 2010)

Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks. - Hui Cheng; Shengxiang Yang (Eng. Appl. Artif. Intell., 2010)

QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms. - Hui Cheng; Xingwei Wang 001; Shengxiang Yang; Min Huang 001; Jiannong Cao 001 (J. Netw. Comput. Appl., 2010)

Guest editorial: Memetic Computing in the presence of uncertainties. - Ferrante Neri; Shengxiang Yang (Memetic Comput., 2010)

A particle swarm optimization based memetic algorithm for dynamic optimization problems. - Hongfeng Wang; Shengxiang Yang; W. H. Ip; Dingwei Wang (Nat. Comput., 2010)

An improved constraint satisfaction adaptive neural network for job-shop scheduling. - Shengxiang Yang; Dingwei Wang; Tianyou Chai; Graham Kendall (J. Sched., 2010)

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. - Shengxiang Yang; Changhe Li (IEEE Trans. Evol. Comput., 2010)

Particle Swarm Optimization With Composite Particles in Dynamic Environments. - Lili Liu; Shengxiang Yang; Dingwei Wang (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. - Shengxiang Yang; Hui Cheng; Fang Wang (IEEE Trans. Syst. Man Cybern. Part C, 2010)

An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem. - Michalis Mavrovouniotis; Shengxiang Yang (Artificial Evolution, 2011)

Genetic algorithms with elitism-based immigrants for dynamic load balanced clustering problem in mobile ad hoc networks. - Hui Cheng; Shengxiang Yang (CIDUE, 2011)

A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem. - Sadaf Naseem Jat; Shengxiang Yang (EvoCOP, 2011)

Memory-Based Immigrants for Ant Colony Optimization in Changing Environments. - Michalis Mavrovouniotis; Shengxiang Yang (EvoApplications (1), 2011)

A hybrid evolutionary multiobjective approach for the dynamic component selection problem. - Andreea Vescan; Crina Grosan; Shengxiang Yang (HIS, 2011)

Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods. - Hui Cheng; Shengxiang Yang (Appl. Soft Comput., 2011)

Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. - Renato Tinós; Shengxiang Yang (Int. J. Hybrid Intell. Syst., 2011)

A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling. - Sadaf Naseem Jat; Shengxiang Yang (J. Sched., 2011)

A memetic ant colony optimization algorithm for the dynamic travelling salesman problem. - Michalis Mavrovouniotis; Shengxiang Yang (Soft Comput., 2011)

Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments. - Xingguang Peng; Xiaoguang Gao 001; Shengxiang Yang (Soft Comput., 2011)

Use of the q-Gaussian mutation in evolutionary algorithms. - Renato Tinós; Shengxiang Yang (Soft Comput., 2011)

Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling. - Shengxiang Yang; Sadaf Naseem Jat (IEEE Trans. Syst. Man Cybern. Part C, 2011)

Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study. - Yefeng Liu; Tianyou Chai; Si-Zhao Joe Qin; Quan-Ke Pan; Shengxiang Yang (CDC, 2012)

Maintaining diversity by clustering in dynamic environments. - Changhe Li; Shengxiang Yang; Ming Yang 003 (IEEE Congress on Evolutionary Computation, 2012)

Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem. - Michalis Mavrovouniotis; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2012)

Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem. - Michalis Mavrovouniotis; Shengxiang Yang (EvoApplications, 2012)

A Benchmark Generator for Dynamic Permutation-Encoded Problems. - Michalis Mavrovouniotis; Shengxiang Yang; Xin Yao 001 (PPSN (2), 2012)

A Hybrid Approach to Piecewise Modelling of Biochemical Systems. - Zujian Wu; Shengxiang Yang; David R. Gilbert (PPSN (1), 2012)

Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks. - Hui Cheng; Shengxiang Yang (TrustCom, 2012)

Immigrants-Enhanced Multi-Population Genetic Algorithms for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. - Hui Cheng; Shengxiang Yang; Xingwei Wang 001 (Appl. Artif. Intell., 2012)

A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems. - Hongfeng Wang; Shengxiang Yang; W. H. Ip; Dingwei Wang (Int. J. Syst. Sci., 2012)

Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima. - Lili Liu; Shengxiang Yang; Dingwei Wang (Inf. Sci., 2012)

A memetic particle swarm optimization algorithm for multimodal optimization problems. - Hongfeng Wang; Ilkyeong Moon; Shengxiang Yang; Dingwei Wang (Inf. Sci., 2012)

Evolutionary dynamic optimization: A survey of the state of the art. - Trung Thanh Nguyen 002; Shengxiang Yang; Jürgen Branke (Swarm Evol. Comput., 2012)

A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments. - Changhe Li; Shengxiang Yang (IEEE Trans. Evol. Comput., 2012)

A Self-Learning Particle Swarm Optimizer for Global Optimization Problems. - Changhe Li; Shengxiang Yang; Trung Thanh Nguyen 002 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Genetic algorithms with adaptive immigrants for dynamic environments. - Michalis Mavrovouniotis; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2013)

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces. - Weijian Kong; Jinliang Ding; Tianyou Chai; Xiuping Zheng; Shengxiang Yang (CIES, 2013)

A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001; Ruimin Shen (EMO, 2013)

IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001; Kang Wang 003 (EMO, 2013)

Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems. - Michalis Mavrovouniotis; Shengxiang Yang (EvoApplications, 2013)

Evolving neural networks using ant colony optimization with pheromone trail limits. - Michalis Mavrovouniotis; Shengxiang Yang (UKCI, 2013)

A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing. - Weijian Kong; Tianyou Chai; Shengxiang Yang; Jinliang Ding (Appl. Soft Comput., 2013)

Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors. - Michalis Mavrovouniotis; Shengxiang Yang (Appl. Soft Comput., 2013)

Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks. - Hui Cheng; Shengxiang Yang; Jiannong Cao 001 (Expert Syst. Appl., 2013)

Fourth party logistics routing problem model with fuzzy duration time and cost discount. - Yan Cui; Min Huang 001; Shengxiang Yang; Loo Hay Lee; Xingwei Wang 001 (Knowl. Based Syst., 2013)

A Grid-Based Evolutionary Algorithm for Many-Objective Optimization. - Shengxiang Yang; Miqing Li; Xiaohui Liu 001; Jinhua Zheng (IEEE Trans. Evol. Comput., 2013)

Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review. - Hendrik Richter 001; Shengxiang Yang (Handbook of Optimization, 2013)

Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach. - Michalis Mavrovouniotis; Shengxiang Yang (Automated Scheduling and Planning, 2013)

An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation. - Shouyong Jiang; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2014)

A test problem for visual investigation of high-dimensional multi-objective search. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001 (IEEE Congress on Evolutionary Computation, 2014)

Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. - Michalis Mavrovouniotis; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2014)

Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate. - Michalis Mavrovouniotis; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2014)

A framework of scalable dynamic test problems for dynamic multi-objective optimization. - Shouyong Jiang; Shengxiang Yang (CIDUE, 2014)

Ant colony optimization with self-adaptive evaporation rate in dynamic environments. - Michalis Mavrovouniotis; Shengxiang Yang (CIDUE, 2014)

Multi-colony ant algorithms for the dynamic travelling salesman problem. - Michalis Mavrovouniotis; Shengxiang Yang; Xin Yao 001 (CIDUE, 2014)

Dynamic railway junction rescheduling using population based ant colony optimisation. - Jayne Eaton; Shengxiang Yang (UKCI, 2014)

A benchmark generator for dynamic multi-objective optimization problems. - Shouyong Jiang; Shengxiang Yang (UKCI, 2014)

An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems. - Changhe Li; Shengxiang Yang; Ming Yang 003 (Evol. Comput., 2014)

ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization. - Miqing Li; Shengxiang Yang; Jinhua Zheng; Xiaohui Liu 001 (Evol. Comput., 2014)

Analysis of fitness landscape modifications in evolutionary dynamic optimization. - Renato Tinós; Shengxiang Yang (Inf. Sci., 2014)

Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control. - Weijian Kong; Tianyou Chai; Jinliang Ding; Shengxiang Yang (IEEE Trans Autom. Sci. Eng., 2014)

Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001 (IEEE Trans. Cybern., 2014)

Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems. - Miqing Li; Shengxiang Yang; Ke Li 001; Xiaohui Liu 001 (IEEE Trans. Cybern., 2014)

Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001 (IEEE Trans. Evol. Comput., 2014)

An adaptive local search algorithm for real-valued dynamic optimization. - Michalis Mavrovouniotis; Ferrante Neri; Shengxiang Yang (CEC, 2015)

Applying Ant Colony Optimization to Dynamic Binary-Encoded Problems. - Michalis Mavrovouniotis; Shengxiang Yang (EvoApplications, 2015)

A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001 (GECCO, 2015)

An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem. - Michalis Mavrovouniotis; Felipe Martins Müller; Shengxiang Yang (GECCO, 2015)

Evolutionary Computation for Dynamic Optimization Problems. - Shengxiang Yang (GECCO (Companion), 2015)

Population-Based Incremental Learning with Immigrants Schemes in Changing Environments. - Michalis Mavrovouniotis; Shengxiang Yang (SSCI, 2015)

Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases. - Jun Qi; Liming Chen 001; Wolfgang Leister; Shengxiang Yang (UIC/ATC/ScalCom, 2015)

Bi-goal evolution for many-objective optimization problems. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001 (Artif. Intell., 2015)

Multi-population methods in unconstrained continuous dynamic environments: The challenges. - Changhe Li; Trung Thanh Nguyen 002; Ming Yang 003; Shengxiang Yang; Sanyou Zeng (Inf. Sci., 2015)

Ant algorithms with immigrants schemes for the dynamic vehicle routing problem. - Michalis Mavrovouniotis; Shengxiang Yang (Inf. Sci., 2015)

Training neural networks with ant colony optimization algorithms for pattern classification. - Michalis Mavrovouniotis; Shengxiang Yang (Soft Comput., 2015)

A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks. - Wei Fang 001; Shengxiang Yang; Xin Yao 001 (IEEE Trans. Intell. Transp. Syst., 2015)

An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition. - Jinglei Guo; Shengxiang Yang; Shouyong Jiang (CEC, 2016)

A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization. - Jia-Peng Li; Yong Wang 002; Shengxiang Yang; Zixing Cai (CEC, 2016)

Differential evolution with a two-stage optimization mechanism for numerical optimization. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Zixing Cai (CEC, 2016)

Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments. - Michalis Mavrovouniotis; Shengxiang Yang (CEC, 2016)

Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments. - Michalis Mavrovouniotis; Shengxiang Yang (EvoApplications (2), 2016)

Convergence Versus Diversity in Multiobjective Optimization. - Shouyong Jiang; Shengxiang Yang (PPSN, 2016)

Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. - Renato Tinós; Shengxiang Yang (PPSN, 2016)

Evolutionary dynamic optimisation of airport security lane schedules. - Darren M. Chitty; Mario Gongora 001; Shengxiang Yang (SSCI, 2016)

Railway platform reallocation after dynamic perturbations using ant colony optimisation. - Jayne Eaton; Shengxiang Yang (SSCI, 2016)

On the use of hypervolume for diversity measurement of Pareto front approximations. - Shouyong Jiang; Shengxiang Yang; Miqing Li (SSCI, 2016)

Dynamic Stream Clustering Using Ants. - Conor Fahy; Shengxiang Yang (UKCI, 2016)

A clique-based online algorithm for constructing optical orthogonal codes. - Yuan Zhang; Mao Peng; Shengxiang Yang (Appl. Soft Comput., 2016)

Improving the JADE algorithm by clustering successful parameters. - Zhijian Li; Jinglei Guo; Shengxiang Yang (Int. J. Wirel. Mob. Comput., 2016)

Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays. - Jayne Eaton; Shengxiang Yang; Michalis Mavrovouniotis (Soft Comput., 2016)

An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts. - Shouyong Jiang; Shengxiang Yang (IEEE Trans. Cybern., 2016)

An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. - Changhe Li; Trung Thanh Nguyen 002; Ming Yang 003; Michalis Mavrovouniotis; Shengxiang Yang (IEEE Trans. Evol. Comput., 2016)

Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization. - Miqing Li; Shengxiang Yang; Xiaohui Liu 001 (IEEE Trans. Evol. Comput., 2016)

Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (CEC, 2017)

Pre-scheduled Colony Size Variation in Dynamic Environments. - Michalis Mavrovouniotis; Anastasia Ioannou; Shengxiang Yang (EvoApplications (2), 2017)

Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing. - Muhanad Tahrir Younis; Shengxiang Yang; Benjamin N. Passow (EvoApplications (1), 2017)

Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules. - Darren M. Chitty; Shengxiang Yang; Mario Gongora 001 (MENDEL, 2017)

Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. - Darren M. Chitty; Shengxiang Yang; Mario Gongora 001 (SSCI, 2017)

A proportion-based selection scheme for multi-objective optimization. - Liuwei Fu; Juan Zou; Shengxiang Yang; Gan Ruan; Zhongwei Ma; Jinhua Zheng (SSCI, 2017)

Pheromone modification strategy for the dynamic travelling salesman problem with weight changes. - Michalis Mavrovouniotis; Mien Van; Shengxiang Yang (SSCI, 2017)

The effect of diversity maintenance on prediction in dynamic multi-objective optimization. - Gan Ruan; Guo Yu 001; Jinhua Zheng; Juan Zou; Shengxiang Yang (Appl. Soft Comput., 2017)

A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization. - Juan Zou; Qingya Li; Shengxiang Yang; Hui Bai; Jinhua Zheng (Appl. Soft Comput., 2017)

A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast. - Xingwei Wang 001; Jinhong Zhang; Min Huang 001; Shengxiang Yang (Comput. Networks, 2017)

An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Ke Tang 001 (CoRR, 2017)

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes. - Shengxiang Yang; Shouyong Jiang; Yong Jiang (Soft Comput., 2017)

A survey of swarm intelligence for dynamic optimization: Algorithms and applications. - Michalis Mavrovouniotis; Changhe Li; Shengxiang Yang (Swarm Evol. Comput., 2017)

Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons. - Shouyong Jiang; Shengxiang Yang (IEEE Trans. Cybern., 2017)

Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems. - Michalis Mavrovouniotis; Felipe Martins Müller; Shengxiang Yang (IEEE Trans. Cybern., 2017)

A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems. - Wenyin Gong; Yong Wang 002; Zhihua Cai; Shengxiang Yang (IEEE Trans. Evol. Comput., 2017)

A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization. - Shouyong Jiang; Shengxiang Yang (IEEE Trans. Evol. Comput., 2017)

A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization. - Shouyong Jiang; Shengxiang Yang (IEEE Trans. Evol. Comput., 2017)

A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains. - Yong Wang 002; Biao Xu; Guangyong Sun; Shengxiang Yang (IEEE Trans. Evol. Comput., 2017)

Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling. - Jayne Eaton; Shengxiang Yang; Mario Gongora 001 (IEEE Trans. Intell. Transp. Syst., 2017)

An Empirical Study of Dynamic Triobjective Optimisation Problems. - Shouyong Jiang; Marcus Kaiser; Shuzhen Wan; Jinglei Guo; Shengxiang Yang; Natalio Krasnogor (CEC, 2018)

A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing. - Muhanad Tahrir Younis; Shengxiang Yang; Benjamin N. Passow (CEC, 2018)

Less detectable environmental changes in dynamic multiobjective optimisation. - Shouyong Jiang; Marcus Kaiser; Jinglei Guo; Shengxiang Yang; Natalio Krasnogor (GECCO, 2018)

A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization. - Zhanglu Hou; Shengxiang Yang; Juan Zou; Jinhua Zheng; Guo Yu 001; Gan Ruan (SSCI, 2018)

An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance. - Jianwei Zhou; Juan Zou; Shengxiang Yang; Gan Ruan; Junwei Ou; Jinhua Zheng (SSCI, 2018)

Hybrid meta-heuristic algorithms for independent job scheduling in grid computing. - Muhanad Tahrir Younis; Shengxiang Yang (Appl. Soft Comput., 2018)

A many-objective evolutionary algorithm based on rotated grid. - Juan Zou; Liuwei Fu; Jinhua Zheng; Shengxiang Yang; Guo Yu 001; Yaru Hu (Appl. Soft Comput., 2018)

Adaptive neighborhood selection for many-objective optimization problems. - Juan Zou; Yuping Zhang; Shengxiang Yang; Yuan Liu 026; Jinhua Zheng (Appl. Soft Comput., 2018)

Multiobjective optimization of the production process for ground granulated blast furnace slags. - Kang Wang 003; Xiaoli Li 011; Chao Jia; Shengxiang Yang; Miqing Li; Yang Li 086 (Soft Comput., 2018)

Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms. - Shouyong Jiang; Shengxiang Yang; Yong Wang 002; Xiaobin Liu (IEEE Trans. Evol. Comput., 2018)

Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite. - Miqing Li; Crina Grosan; Shengxiang Yang; Xiaohui Liu 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing. - Hui Cheng; Xin Yao 001; Shengxiang Yang; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout. - Yong Wang 002; Hao Liu 024; Huan Long; Zijun Zhang; Shengxiang Yang (IEEE Trans. Ind. Informatics, 2018)

Memory-based multi-population genetic learning for dynamic shortest path problems. - Yiya Diao; Changhe Li; Sanyou Zeng; Michalis Mavrovouniotis; Shengxiang Yang (CEC, 2019)

A Two-layer Optimization Management Method for the Microgrid with Electric Vehicles. - Zedong Zheng; Shengxiang Yang (CEC, 2019)

A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning. - Xiaofang Wu; Changhe Li; Sanyou Zeng; Shengxiang Yang (ISICA, 2019)

Dynamic Feature Selection for Clustering High Dimensional Data Streams. - Conor Fahy; Shengxiang Yang (IEEE Access, 2019)

A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization. - Junwei Ou; Jinhua Zheng; Gan Ruan; Yaru Hu; Juan Zou; Miqing Li; Shengxiang Yang; Xu Tan 002 (Appl. Soft Comput., 2019)

A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty. - Junfei Qiao 001; Hongbiao Zhou; Cuili Yang; Shengxiang Yang (Appl. Soft Comput., 2019)

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation. - Shouyong Jiang; Marcus Kaiser; Shengxiang Yang; Stefanos D. Kollias; Natalio Krasnogor (CoRR, 2019)

AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. - Shouyong Jiang; Hongru Li; Jinglei Guo; Mingjun Zhong; Shengxiang Yang; Marcus Kaiser; Natalio Krasnogor (CoRR, 2019)

Novel implementation of defence strategy of relay attack based on cloud in RFID systems. - He Xu; Weiwei Shen; Peng Li 011; Keith Mayes; Ruchuan Wang 001; Dashen Li; Shengxiang Yang (Int. J. Inf. Comput. Secur., 2019)

A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation. - Hui Bai; Jinhua Zheng; Guo Yu 001; Shengxiang Yang; Juan Zou (Inf. Sci., 2019)

Hybrid of memory and prediction strategies for dynamic multiobjective optimization. - Zhengping Liang; Shunxiang Zheng; Zexuan Zhu; Shengxiang Yang (Inf. Sci., 2019)

A framework for inducing artificial changes in optimization problems. - Renato Tinós; Shengxiang Yang (Inf. Sci., 2019)

An adaptation reference-point-based multiobjective evolutionary algorithm. - Juan Zou; Liuwei Fu; Shengxiang Yang; Jinhua Zheng; Gan Ruan; Tingrui Pei; Lei Wang 069 (Inf. Sci., 2019)

Accelerating differential evolution based on a subset-to-subset survivor selection operator. - Jinglei Guo; Zhijian Li; Shengxiang Yang (Soft Comput., 2019)

A predictive strategy based on special points for evolutionary dynamic multi-objective optimization. - Qingya Li; Juan Zou; Shengxiang Yang; Jinhua Zheng; Gan Ruan (Soft Comput., 2019)

Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization. - Qingyang Zhang; Ronggui Wang; Juan Yang 001; Andrew Lewis; Francisco Chiclana; Shengxiang Yang (Soft Comput., 2019)

Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons. - Yong Wang 002; Jian Yu; Shengxiang Yang; Shouyong Jiang; Shuang Zhao (Swarm Evol. Comput., 2019)

An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals. - Zhen Wang; Jihui Zhang 003; Shengxiang Yang (Swarm Evol. Comput., 2019)

A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization. - Juan Zou; Chunhui Ji; Shengxiang Yang; Yuping Zhang; Jinhua Zheng; Ke Li 001 (Swarm Evol. Comput., 2019)

A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model. - Juan Zou; Qingya Li; Shengxiang Yang; Jinhua Zheng; Zhou Peng; Tingrui Pei (Swarm Evol. Comput., 2019)

Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (IEEE Trans. Cybern., 2019)

A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. - Wei Fang 001; Lingzhi Zhang; Shengxiang Yang; Jun Sun 008; Xiaojun Wu 001 (IEEE Trans. Cybern., 2019)

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Ke Tang 001 (IEEE Trans. Cybern., 2019)

Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints. - Yong Wang 002; Da-Qing Yin; Shengxiang Yang; Guangyong Sun (IEEE Trans. Cybern., 2019)

Reinforced Evolutionary Algorithms for Game Difficulty Control. - Guangwu Cui; Ruimin Shen; Yingfeng Chen; Juan Zou; Shengxiang Yang; Changjie Fan; Jinghua Zheng (ACAI, 2020)

An Experimental Study of Prediction Methods in Robust optimization Over Time. - Matthew Fox; Shengxiang Yang; Fabio Caraffini (CEC, 2020)

Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions. - Wenjie Liu 008; Wenjian Luo; Xin Lin 004; Miqing Li; Shengxiang Yang (CEC, 2020)

Particle Swarm Optimisation for Scheduling Electric Vehicles with Microgrids. - Zedong Zheng; Shengxiang Yang (CEC, 2020)

An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme. - Jinglei Guo; Miaomiao Shao; Shouyong Jiang; Shengxiang Yang (GECCO Companion, 2020)

Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. - Long Xiao; Changhe Li; Junchen Wang; Michalis Mavrovouniotis; Shengxiang Yang; Xiaorong Dan (ICMLC, 2020)

Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. - Saúl Calderón Ramírez; Raghvendra Giri; Shengxiang Yang; Armaghan Moemeni; Mario Umaña; David A. Elizondo; Jordina Torrents-Barrena; Miguel A. Molina-Cabello (ICPR, 2020)

A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. - Ariana Bermudez; Saúl Calderón Ramírez; Trevor Thang; Pascal N. Tyrrell; Armaghan Moemeni; Shengxiang Yang; Jordina Torrents-Barrena (IJCNN, 2020)

Analysis and multi-objective optimization of slag powder process. - Xiaoli Li 011; Shiqi Shen; Shengxiang Yang; Kang Wang 003; Yang Li 086 (Appl. Soft Comput., 2020)

Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization. - Juan Zou; Qite Yang; Shengxiang Yang; Jinhua Zheng (Appl. Soft Comput., 2020)

Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. - Michalis Mavrovouniotis; Shengxiang Yang; Mien Van; Changhe Li; Marios M. Polycarpou (IEEE Comput. Intell. Mag., 2020)

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm. - Zhaoke Huang; Chunhua Yang 001; Xiaojun Zhou; Shengxiang Yang (Cogn. Comput., 2020)

MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. - Saúl Calderón Ramírez; Luis Oala; Jordina Torrents-Barrena; Shengxiang Yang; Armaghan Moemeni; Wojciech Samek; Miguel A. Molina-Cabello (CoRR, 2020)

A dynamic multi-objective evolutionary algorithm based on intensity of environmental change. - Yaru Hu; Jinhua Zheng; Juan Zou; Shengxiang Yang; Junwei Ou; Rui Wang 017 (Inf. Sci., 2020)

AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation. - Shouyong Jiang; Hongru Li; Jinglei Guo; Mingjun Zhong; Shengxiang Yang; Marcus Kaiser; Natalio Krasnogor (Inf. Sci., 2020)

An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection. - Junfei Qiao 001; Fei Li; Shengxiang Yang; Cuili Yang; Wenjing Li 004; Ke Gu 001 (Inf. Sci., 2020)

A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems. - Juan Zou; Qi Deng; Jinhua Zheng; Shengxiang Yang (Inf. Sci., 2020)

Solving dynamic multi-objective problems with an evolutionary multi-directional search approach. - Yaru Hu; Junwei Ou; Jinhua Zheng; Juan Zou; Shengxiang Yang; Gan Ruan (Knowl. Based Syst., 2020)

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties. - Qing-da Chen; Jinliang Ding; Shengxiang Yang; Tianyou Chai (IEEE Trans. Control. Syst. Technol., 2020)

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. - Shouyong Jiang; Marcus Kaiser; Shengxiang Yang; Stefanos D. Kollias; Natalio Krasnogor (IEEE Trans. Cybern., 2020)

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems. - Qing-da Chen; Jinliang Ding; Shengxiang Yang; Tianyou Chai (IEEE Trans. Evol. Comput., 2020)

A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems. - Dunwei Gong; Biao Xu; Yong Zhang 016; Yi-Nan Guo 001; Shengxiang Yang (IEEE Trans. Evol. Comput., 2020)

Novel Prediction Strategies for Dynamic Multiobjective Optimization. - Qingyang Zhang; Shengxiang Yang; Shouyong Jiang; Ronggui Wang; Xiaoli Li 011 (IEEE Trans. Evol. Comput., 2020)

A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. - Qingshan Tan; Changhe Li; Hai Xia 001; Sanyou Zeng; Shengxiang Yang (CEC, 2021)

A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. - Hai Xia 001; Changhe Li; Sanyou Zeng; Qingshan Tan; Junchen Wang; Shengxiang Yang (CEC, 2021)

Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution. - Hui Yuan 001; Raouf Hamzaoui; Ferrante Neri; Shengxiang Yang (ICIG (1), 2021)

Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. - Saúl Calderón Ramírez; Diego Murillo-Hernandez; Kevin Rojas-Salazar; Luis-Alexander Calvo-Valverde; Shengxiang Yang; Armaghan Moemeni; David A. Elizondo; Ezequiel López-Rubio; Miguel A. Molina-Cabello (IJCNN, 2021)

Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution. - Hui Yuan 001; Raouf Hamzaoui; Ferrante Neri; Shengxiang Yang; Tingting Wang (MMSP, 2021)

An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions. - Baojian Chen; Changhe Li; Sanyou Zeng; Shengxiang Yang; Michalis Mavrovouniotis (SSCI, 2021)

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. - Saúl Calderón Ramírez; Shengxiang Yang; Armaghan Moemeni; Simon Colreavy-Donnelly; David A. Elizondo; Luis Oala; Jorge Rodríguez-Capitán; Manuel Jiménez-Navarro; Ezequiel López-Rubio; Miguel A. Molina-Cabello (IEEE Access, 2021)

Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. - Saúl Calderón Ramírez; Shengxiang Yang; Armaghan Moemeni; David A. Elizondo; Simon Colreavy-Donnelly; Luis Fernando Chavarria-Estrada; Miguel A. Molina-Cabello (Appl. Soft Comput., 2021)

Generalized Moving Peaks Benchmark. - Danial Yazdani; Jürgen Branke; Mohammad Nabi Omidvar; Changhe Li; Michalis Mavrovouniotis; Trung Thanh Nguyen 002; Shengxiang Yang; Xin Yao 001 (CoRR, 2021)

Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. - Mohammad Nabi Omidvar; Danial Yazdani; Jürgen Branke; Xiaodong Li 001; Shengxiang Yang; Xin Yao 001 (CoRR, 2021)

A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. - Saúl Calderón Ramírez; Diego Murillo-Hernandez; Kevin Rojas-Salazar; David A. Elizondo; Shengxiang Yang; Miguel A. Molina-Cabello (CoRR, 2021)

A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization. - Zhengping Liang; Ya Zou; Shunxiang Zheng; Shengxiang Yang; Zexuan Zhu (Expert Syst. Appl., 2021)

A novel oversampling technique based on the manifold distance for class imbalance learning. - Yinan Guo 001; Botao Jiao; Lingkai Yang; Jian Cheng 004; Shengxiang Yang; Fengzhen Tang (Int. J. Bio Inspired Comput., 2021)

Dynamic multi-objective optimization algorithm based decomposition and preference. - Yaru Hu; Jinhua Zheng; Juan Zou; Shouyong Jiang; Shengxiang Yang (Inf. Sci., 2021)

A two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization. - Zhipan Li; Juan Zou; Shengxiang Yang; Jinhua Zheng (Inf. Sci., 2021)

A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization. - Huipeng Xie; Juan Zou; Shengxiang Yang; Jinhua Zheng; Junwei Ou; Yaru Hu (Inf. Sci., 2021)

Niche-based and angle-based selection strategies for many-objective evolutionary optimization. - Jinlong Zhou; Juan Zou; Shengxiang Yang; Jinhua Zheng; Dunwei Gong; Tingrui Pei (Inf. Sci., 2021)

A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems. - Juan Zou; Ruiqing Sun; Shengxiang Yang; Jinhua Zheng (Inf. Sci., 2021)

A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation. - Juan Zou; Zhenghui Zhang; Jinhua Zheng; Shengxiang Yang (Knowl. Based Syst., 2021)

Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization. - Xin Li 043; Xiaoli Li 011; Kang Wang 003; Shengxiang Yang; Yang Li 086 (Neural Comput. Appl., 2021)

A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure. - Yue Xu 002; Dechang Pi; Shengxiang Yang; Yang Chen 035 (Reliab. Eng. Syst. Saf., 2021)

An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization. - Jinlong Zhou; Juan Zou; Jinhua Zheng; Shengxiang Yang; Dunwei Gong; Tingrui Pei (Soft Comput., 2021)

A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization. - Sanyi Li; Shengxiang Yang; Yanfeng Wang; Weichao Yue; Junfei Qiao 001 (Swarm Evol. Comput., 2021)

A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization. - Gan Ruan; Jinhua Zheng; Juan Zou; Zhongwei Ma; Shengxiang Yang (Swarm Evol. Comput., 2021)

A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization. - Jinhua Zheng; Yubing Zhou; Juan Zou; Shengxiang Yang; Junwei Ou; Yaru Hu (Swarm Evol. Comput., 2021)

A many-objective evolutionary algorithm based on rotation and decomposition. - Juan Zou; Jing Liu; Shengxiang Yang; Jinhua Zheng (Swarm Evol. Comput., 2021)

A many-objective algorithm based on staged coordination selection. - Juan Zou; Jing Liu; Jinhua Zheng; Shengxiang Yang (Swarm Evol. Comput., 2021)

Handling Constrained Many-Objective Optimization Problems via Problem Transformation. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Shengxiang Yang; Yew-Soon Ong (IEEE Trans. Cybern., 2021)

Learning to Search Promising Regions by a Monte-Carlo Tree Model. - Hai Xia 001; Changhe Li; Sanyou Zeng; Qingshan Tan; Junchen Wang; Shengxiang Yang (CEC, 2022)

Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization. - Jinhua Zheng; Kaixi Yang; Juan Zou; Shengxiang Yang (ICTAI, 2022)

Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities. - Saúl Calderón Ramírez; Shengxiang Yang; David A. Elizondo; Armaghan Moemeni (Appl. Soft Comput., 2022)

A multiobjective state transition algorithm based on modified decomposition method. - Xiaojun Zhou; Yuan Gao; Shengxiang Yang; Chunhua Yang 001; Jiajia Zhou (Appl. Soft Comput., 2022)

Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. - Wenjian Luo; Xin Lin 004; Changhe Li; Shengxiang Yang; Yuhui Shi 001 (CoRR, 2022)

Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. - Saúl Calderón Ramírez; Shengxiang Yang; David A. Elizondo (CoRR, 2022)

A dual evolutionary bagging for class imbalance learning. - Yinan Guo 001; Jiawei Feng; Botao Jiao; Ning Cui; Shengxiang Yang; Zekuan Yu (Expert Syst. Appl., 2022)

Multi-view representation learning for data stream clustering. - Jie Chen 065; Shengxiang Yang; Zhu Wang 007 (Inf. Sci., 2022)

A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization. - Sheng Qi; Juan Zou; Shengxiang Yang; Yaochu Jin; Jinhua Zheng; Xu Yang (Inf. Sci., 2022)

A benchmark generator for online dynamic single-objective and multi-objective optimization problems. - Xiaoshu Xiang; Ye Tian 009; Ran Cheng; Xingyi Zhang 001; Shengxiang Yang; Yaochu Jin (Inf. Sci., 2022)

Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables. - Biao Xu; Dunwei Gong; Yong Zhang 016; Shengxiang Yang; Ling Wang 001; Zhun Fan; Yonggang Zhang (Inf. Sci., 2022)

Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm. - Qingyang Zhang; Xiangyu He; Shengxiang Yang; Yongquan Dong; Hui Song; Shouyong Jiang (Inf. Sci., 2022)

A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. - Saúl Calderón Ramírez; Diego Murillo-Hernandez; Kevin Rojas-Salazar; David A. Elizondo; Shengxiang Yang; Armaghan Moemeni; Miguel A. Molina-Cabello (Medical Biol. Eng. Comput., 2022)

A reconstruction method for cross-cut shredded documents based on the extreme learning machine algorithm. - Zhenghui Zhang; Juan Zou; Shengxiang Yang; Jinhua Zheng; Dunwei Gong; Tingrui Pei (Soft Comput., 2022)

Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization. - Ying Chen; Juan Zou; Yuan Liu 026; Shengxiang Yang; Jinhua Zheng; Weixiong Huang (Swarm Evol. Comput., 2022)

A new moving peaks benchmark with attractors for dynamic evolutionary algorithms. - Matthew Fox; Shengxiang Yang; Fabio Caraffini (Swarm Evol. Comput., 2022)

PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization. - Xin Lin 004; Wenjian Luo; Peilan Xu; Yingying Qiao; Shengxiang Yang (Swarm Evol. Comput., 2022)

A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization. - Qiuyue Liu; Juan Zou; Shengxiang Yang; Jinhua Zheng (Swarm Evol. Comput., 2022)

A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization. - Sheng Qi; Juan Zou; Shengxiang Yang; Jinhua Zheng (Swarm Evol. Comput., 2022)

A constrained multi-objective evolutionary strategy based on population state detection. - Huanrong Tang; Fan Yu 001; Juan Zou; Shengxiang Yang; Jinhua Zheng (Swarm Evol. Comput., 2022)

A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems. - Yanping Wang; Yuan Liu 026; Juan Zou; Jinhua Zheng; Shengxiang Yang (Swarm Evol. Comput., 2022)

A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution. - Jinhua Zheng; Zeyu Zhang; Juan Zou; Shengxiang Yang; Junwei Ou; Yaru Hu (Swarm Evol. Comput., 2022)

Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. - Saúl Calderón Ramírez; Shengxiang Yang; David A. Elizondo (IEEE Trans. Artif. Intell., 2022)

Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams. - Conor Fahy; Shengxiang Yang (IEEE Trans. Big Data, 2022)

Multiview Subspace Clustering Using Low-Rank Representation. - Jie Chen 065; Shengxiang Yang; Hua Mao; Conor Fahy (IEEE Trans. Cybern., 2022)

A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification. - Zhengping Liang; Tiancheng Wu; Xiaoliang Ma 001; Zexuan Zhu; Shengxiang Yang (IEEE Trans. Cybern., 2022)

An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization. - Lianbo Ma; Min Huang 001; Shengxiang Yang; Rui Wang 017; Xingwei Wang 001 (IEEE Trans. Cybern., 2022)

Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System. - Lianbo Ma; Nan Li; Yinan Guo 001; Xingwei Wang 001; Shengxiang Yang; Min Huang 001; Hao Zhang 017 (IEEE Trans. Cybern., 2022)

Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. - Yunhe Wang 002; Xiangtao Li; Ka-Chun Wong; Yi Chang 001; Shengxiang Yang (IEEE Trans. Cybern., 2022)

A New Crossover Mechanism for Genetic Algorithms for Steiner Tree Optimization. - Qiongbing Zhang; Shengxiang Yang; Min Liu 023; Jianxun Liu 001; Lei Jiang 007 (IEEE Trans. Cybern., 2022)

Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. - Yingbo Xie; Shengxiang Yang; Ding Wang 001; Junfei Qiao 001; Baocai Yin (IEEE Trans. Evol. Comput., 2022)

HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing. - Yang Chen 035; Dechang Pi; Shengxiang Yang; Yue Xu 002; Junfu Chen; Ali Wagdy Mohamed (IEEE Trans. Netw. Serv. Manag., 2022)

Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data. - Yunhe Wang 002; Chuang Bian; Ka-Chun Wong; Xiangtao Li; Shengxiang Yang (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Decomposed Multi-objective Method Based on Q-Learning for Solving Multi-objective Combinatorial Optimization Problem. - Anju Yang; Yuan Liu 026; Juan Zou; Shengxiang Yang (BIC-TA (1), 2023)

A Subspace-Based Non-Dominated Subset Selection Method. - Qingshan Tan; Changhe Li; Sanyou Zeng; Shengxiang Yang (CEC, 2023)

A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. - Yaqi Ti; Changhe Li; Shengxiang Yang (CEC, 2023)

Nearest better network for visualization of the fitness landscape. - Yiya Diao; Changhe Li; Sanyou Zeng; Shengxiang Yang (GECCO Companion, 2023)

A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective Optimization. - Shiting Wang; Jin-Hua Zheng; Juan Zou; Yuan Liu 026; Sheng-Xiang Yang; Yingjie Zou (GECCO Companion, 2023)

An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency. - Conor Fahy; Shengxiang Yang (SSCI, 2023)

A dynamic multi-objective evolutionary algorithm based on Niche prediction strategy. - Jinhua Zheng; Bo Zhang; Juan Zou; Shengxiang Yang; Yaru Hu (Appl. Soft Comput., 2023)

Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation. - Shouyong Jiang; Yong Wang 002; Yaru Hu; Qingyang Zhang; Shengxiang Yang (CoRR, 2023)

Low-Carbon Routing Based on Improved Artificial Bee Colony Algorithm for Electric Trackless Rubber-Tyred Vehicles. - Yinan Guo 001; Yao Huang; Shirong Ge; Yizhe Zhang; Ersong Jiang; Bin Cheng; Shengxiang Yang (Complex Syst. Model. Simul., 2023)

Scarcity of Labels in Non-Stationary Data Streams: A Survey. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (ACM Comput. Surv., 2023)

Evolutionary Dynamic Multi-objective Optimisation: A Survey. - Shouyong Jiang; Juan Zou; Shengxiang Yang; Xin Yao 001 (ACM Comput. Surv., 2023)

An extended fuzzy decision variables framework for solving large-scale multiobjective optimization problems. - Shiting Wang; Jin-Hua Zheng; Yuan Liu 026; Juan Zou; Sheng-Xiang Yang (Inf. Sci., 2023)

An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization. - Jialiang Zhang; Juan Zou; Shengxiang Yang; Jinhua Zheng (Inf. Sci., 2023)

An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization. - Yingjie Zou; Yuan Liu 026; Juan Zou; Shengxiang Yang; Jinhua Zheng (Inf. Sci., 2023)

A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction. - Jinhua Zheng; Qishuang Wu; Juan Zou; Shengxiang Yang; Yaru Hu (Swarm Evol. Comput., 2023)

Meta-heuristic Techniques in Microgrid Management: A Survey. - Zedong Zheng; Shengxiang Yang; Yinan Guo 001; Xiaolong Jin; Rui Wang 017 (Swarm Evol. Comput., 2023)

A dynamic multi-objective optimization based on a hybrid of pivot points prediction and diversity strategies. - Jinhua Zheng; Fei Zhou; Juan Zou; Shengxiang Yang; Yaru Hu (Swarm Evol. Comput., 2023)

An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty. - Yue Xu 002; Dechang Pi; Shengxiang Yang; Yang Chen 035; Shuo Qin 001; Enrico Zio (IEEE Trans Autom. Sci. Eng., 2023)

Reduced-Space Multistream Classification Based on Multiobjective Evolutionary Optimization. - Botao Jiao; Yinan Guo 001; Shengxiang Yang; Jiayang Pu; Dunwei Gong (IEEE Trans. Evol. Comput., 2023)

A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization. - Xu Yang; Juan Zou; Shengxiang Yang; Jinhua Zheng; Yuan Liu 026 (IEEE Trans. Evol. Comput., 2023)

Manifold clustering-based prediction for dynamic multiobjective optimization. - Li Yan 006; Wenlong Qi; A. Kai Qin; Shengxiang Yang; Dunwei Gong; Boyang Qu; Jing Liang 005 (Swarm Evol. Comput., 2023)

A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization. - Kaixi Yang; Jinhua Zheng; Juan Zou; Fan Yu 001; Shengxiang Yang (Swarm Evol. Comput., 2023)

A weight vector generation method based on normal distribution for preference-based multi-objective optimization. - Jinhua Zheng; Zhenfang Du; Juan Zou; Shengxiang Yang (Swarm Evol. Comput., 2023)

Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. - Saúl Calderón Ramírez; Luis Oala; Jordina Torrents-Barrena; Shengxiang Yang; David A. Elizondo; Armaghan Moemeni; Simon Colreavy-Donnelly; Wojciech Samek; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IEEE Trans. Artif. Intell., 2023)

Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance. - Yaru Hu; Jinhua Zheng; Shouyong Jiang; Shengxiang Yang; Juan Zou (IEEE Trans. Cybern., 2023)

Classification in Dynamic Data Streams With a Scarcity of Labels. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (IEEE Trans. Knowl. Data Eng., 2023)

A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts. - Xin Li 043; Xiaoli Li 001; Kang Wang 003; Shengxiang Yang (Inf. Sci., 2023)

Biological survival optimization algorithm with its engineering and neural network applications. - Likai Wang 008; Qingyang Zhang; Xiangyu He; Shengxiang Yang; Shouyong Jiang; Yongquan Dong (Soft Comput., 2023)

A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation. - Juan Zou; Jian Luo; Yuan Liu 026; Shengxiang Yang; Jinhua Zheng (Inf. Sci., 2023)

Penalty and prediction methods for dynamic constrained multi-objective optimization. - Fengxia Wang; Min Huang 001; Shengxiang Yang; Xingwei Wang 001 (Swarm Evol. Comput., 2023)

Efficient Sparse Representation for Learning With High-Dimensional Data. - Jie Chen 065; Shengxiang Yang; Zhu Wang 007; Hua Mao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Two-Stage Sparse Representation Clustering for Dynamic Data Streams. - Jie Chen 065; Zhu Wang 007; Shengxiang Yang; Hua Mao (IEEE Trans. Cybern., 2023)

A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints. - Ruiqing Sun; Juan Zou; Yuan Liu 026; Shengxiang Yang; Jinhua Zheng (IEEE Trans. Evol. Comput., 2023)

Global and local feasible solution search for solving constrained multi-objective optimization. - Weixiong Huang; Juan Zou; Yuan Liu 026; Shengxiang Yang; Jinhua Zheng (Inf. Sci., 2023)

A reinforcement learning-based multi-objective optimization in an interval and dynamic environment. - Yue Xu 002; Yuxuan Song; Dechang Pi; Yang Chen 035; Shuo Qin 001; Xiaoge Zhang; Shengxiang Yang (Knowl. Based Syst., 2023)

An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization. - Jian Feng 001; Shaoning Liu; Shengxiang Yang; Jun Zheng; Jinze Liu (Swarm Evol. Comput., 2023)

A particle swarm algorithm based on the dual search strategy for dynamic multi-objective optimization. - Jintong Yang; Juan Zou; Shengxiang Yang; Yaru Hu; Jinhua Zheng; Yuan Liu 026 (Swarm Evol. Comput., 2023)

History-Guided Hill Exploration for Evolutionary Computation. - Junchen Wang; Changhe Li; Sanyou Zeng; Shengxiang Yang (IEEE Trans. Evol. Comput., 2023)

Intelligent Optimization - Principles, Algorithms and Applications - Changhe Li; Shoufei Han; Sanyou Zeng; Shengxiang Yang (Springer, 2024)

A Multi-Action Deep Reinforcement Learning Based on BiLSTM for Flexible Job Shop Scheduling Problem with Tight Time. - Rui Wang 017; Chang Liu; Xinzhuo Wang; Shengxiang Yang; Yaqi Hou (CSAI, 2024)

A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems. - Xueqing Wang; Jinhua Zheng; Juan Zou; Zhanglu Hou; Shengxiang Yang; Yuan Liu 026 (GECCO Companion, 2024)

Differential Evolution based on Local Grid Search for Multimodal Multiobjective Optimization with Local Pareto Fronts. - Juan Zou; Tianbin Xie; Qi Deng; Xiaozhong Yu; Shengxiang Yang; Jinhua Zheng (GECCO Companion, 2024)

3D Object Reconstruction with Deep Learning. - Stephen S. Aremu; Aboozar Taherkhani; Chang Liu; Shengxiang Yang (IIP (2), 2024)

Hand Gesture Recognition Using a Multi-modal Deep Neural Network. - Saneet Fulsunder; Saidu Umar; Aboozar Taherkhani; Chang Liu; Shengxiang Yang (IIP (2), 2024)

Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures. - Valentine Oleka; Seyyed Mohsen Zahedi; Aboozar Taherkhani; Reza Baserinia; S. Abolfazl Zahedi; Shengxiang Yang (IIP (2), 2024)

Online semi-supervised active learning ensemble classification for evolving imbalanced data streams. - Yinan Guo 001; Jiayang Pu; Botao Jiao; Yanyan Peng; Dini Wang; Shengxiang Yang (Appl. Soft Comput., 2024)

Robust online active learning with cluster-based local drift detection for unbalanced imperfect data. - Yinan Guo 001; Zhiji Zheng; Jiayang Pu; Botao Jiao; Dunwei Gong; Shengxiang Yang (Appl. Soft Comput., 2024)

A dual-population coevolutionary algorithm for balancing convergence and diversity in the decision space in multimodal multi-objective optimization. - Zhipan Li; Huigui Rong; Shengxiang Yang; Xu Yang; Yupeng Huang (Appl. Soft Comput., 2024)

Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology. - Jinze Liu; Jian Feng 001; Shengxiang Yang; Huaguang Zhang; Shaoning Liu (Appl. Soft Comput., 2024)

Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization. - Wenjian Luo; Peilan Xu; Shengxiang Yang; Yuhui Shi 001 (CoRR, 2024)

An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition. - Yizhang Xia; Shihao Song; Zhanglu Hou; Junwen Xu; Juan Zou; Yuan Liu 026; Shengxiang Yang (CoRR, 2024)

Nearest-Better Network-Assisted Fitness Landscape Analysis of Contaminant Source Identification in Water Distribution Network. - Yiya Diao; Changhe Li; Sanyou Zeng; Shengxiang Yang (Data, 2024)

A new framework of change response for dynamic multi-objective optimization. - Yaru Hu; Juan Zou; Jinhua Zheng; Shouyong Jiang; Shengxiang Yang (Expert Syst. Appl., 2024)

A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response. - Xinfu Pang; Yibao Wang; Shengxiang Yang; Wei Liu; Yang Yu 077 (Expert Syst. Appl., 2024)

A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization. - Kangyu Xu; Yizhang Xia; Juan Zou; Zhanglu Hou; Shengxiang Yang; Yaru Hu; Yuan Liu 026 (Inf. Sci., 2024)

A two-stage direction-guided evolutionary algorithm for large-scale multiobjective optimization. - Juan Zou; Li Tang; Yuan Liu 026; Shengxiang Yang; Shiting Wang (Inf. Sci., 2024)

Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement. - Wang Che; Jinhua Zheng; Yaru Hu; Juan Zou; Shengxiang Yang (Swarm Evol. Comput., 2024)

A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing. - Yang Chen 035; Dechang Pi; Shengxiang Yang; Yue Xu 002; Bi Wang 001; Yintong Wang (Swarm Evol. Comput., 2024)

The IGD-based prediction strategy for dynamic multi-objective optimization. - Yaru Hu; Jiankang Peng; Junwei Ou; Yana Li; Jinhua Zheng; Juan Zou; Shouyong Jiang; Shengxiang Yang; Jun Li (Swarm Evol. Comput., 2024)

Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization. - Yuan Liu 026; Jiazheng Li 013; Juan Zou; Zhanglu Hou; Shengxiang Yang; Jinhua Zheng (Swarm Evol. Comput., 2024)

A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization. - Si Long; Jinhua Zheng; Qi Deng; Yuan Liu 026; Juan Zou; Shengxiang Yang (Swarm Evol. Comput., 2024)

A novel preference-driven evolutionary algorithm for dynamic multi-objective problems. - Xueqing Wang; Jinhua Zheng; Zhanglu Hou; Yuan Liu 026; Juan Zou; Yizhang Xia; Shengxiang Yang (Swarm Evol. Comput., 2024)

A population hierarchical-based evolutionary algorithm for large-scale many-objective optimization. - Shiting Wang; Jinhua Zheng; Yingjie Zou; Yuan Liu 026; Juan Zou; Shengxiang Yang (Swarm Evol. Comput., 2024)

Learning to search promising regions by space partitioning for evolutionary methods. - Hai Xia 001; Changhe Li; Qingshan Tan; Sanyou Zeng; Shengxiang Yang (Swarm Evol. Comput., 2024)

Dynamic niching particle swarm optimization with an external archive-guided mechanism for multimodal multi-objective optimization. - Yu Sun; Yuqing Chang; Shengxiang Yang; Fuli Wang (Inf. Sci., 2024)

Weak relationship indicator-based evolutionary algorithm for multimodal multi-objective optimization. - Yi Xiang; Jinhua Zheng; Yaru Hu; Yuan Liu 026; Juan Zou; Qi Deng; Shengxiang Yang (Inf. Sci., 2024)

A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes. - Yaru Hu; Jinhua Zheng; Shouyong Jiang; Shengxiang Yang; Juan Zou; Rui Wang 017 (IEEE Trans. Evol. Comput., 2024)

A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint. - Juan Zou; Ruiqing Sun; Yuan Liu 026; Yaru Hu; Shengxiang Yang; Jinhua Zheng; Ke Li 001 (IEEE Trans. Evol. Comput., 2024)

Augmented Sparse Representation for Incomplete Multiview Clustering. - Jie Chen 065; Shengxiang Yang; Xi Peng 001; Dezhong Peng; Zhu Wang 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection. - Yuanrui Li; Qiuhong Zhao; Shengxiang Yang; Yinan Guo 001 (IEEE Trans. Evol. Comput., 2024)

A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm. - Guoyu Chen; Yinan Guo 001; Min Jiang 005; Shengxiang Yang; Xiaoxiao Zhao; Dunwei Gong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments. - Qingda Chen; Jinliang Ding; Gary G. Yen; Shengxiang Yang; Tianyou Chai (IEEE Trans. Evol. Comput., 2024)

Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems. - Yue Xu 002; Dechang Pi; Shengxiang Yang; Enrico Zio (IEEE Trans. Reliab., 2024)

Optimizing electric vehicle routing with nonlinear charging and time windows using improved differential evolution algorithm. - Jiawen Deng; Jihui Zhang 003; Shengxiang Yang (Clust. Comput., 2024)

Evolutionary Multi/Many-Objective Optimisation via Bilevel Decomposition. - Shouyong Jiang; Jinglei Guo; Yong Wang 002; Shengxiang Yang (IEEE CAA J. Autom. Sinica, 2024)

Learning to Guide Particle Search for Dynamic Multiobjective Optimization. - Wei Song; Shaocong Liu; Xinjie Wang 002; Yinan Guo 001; Shengxiang Yang; Yaochu Jin (IEEE Trans. Cybern., 2024)

Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm. - Guoyu Chen; Yinan Guo 001; Yong Wang 002; Jing J. Liang; Dunwei Gong; Shengxiang Yang (IEEE Trans. Evol. Comput., 2024)

A Dynamic-Niching-Based Pareto Domination for Multimodal Multiobjective Optimization. - Juan Zou; Qi Deng; Yuan Liu 026; Xinjie Yang; Shengxiang Yang; Jinhua Zheng (IEEE Trans. Evol. Comput., 2024)

Particle Search Control Network for Dynamic Optimization. - Wei Song; Zhi Liu; Shaocong Liu; Xiaofeng Ding 001; Yinan Guo 001; Shengxiang Yang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems. - Mengli Shan; Changhe Li; Mai Peng; Xiaobo Liu; Michalis Mavrovouniotis; Shengxiang Yang (CEC, 2025)

Improved Genetic Algorithm Using Reinforcement Learning to Solve the Re-entrant Flexible Flow Shop Scheduling Problem. - Xinzhuo Wang; Chang Liu; Rui Wang 017; Zhenghao Yu; Shengxiang Yang (CEC, 2025)

A repulsive-distance-based maximum diversity selection algorithm for multimodal multiobjective optimization. - Qi Deng; Yuan Liu 026; Shengxiang Yang; Juan Zou; Xijun Li; Yizhang Xia; Jinhua Zheng (Appl. Soft Comput., 2025)

A niching-based nondominated sorting for multimodal multiobjective optimization with local pareto fronts. - Qi Deng; Juan Zou; Shengxiang Yang; Yuan Liu 026; Fan Yu 001; Tianbin Xie; Jinhua Zheng (Appl. Soft Comput., 2025)

A variable window multi-interval rescheduling optimization algorithm for dynamic flexible job shop problem. - Zeyin Guo; Lixin Wei; Xin Li 043; Shengxiang Yang; Jinlu Zhang 003 (Appl. Soft Comput., 2025)

Self-learning brainstorm optimization for synchronization of operations and maintenance toward dual resource-constrained flexible job shops. - Qi Yan; Hongfeng Wang; Shengxiang Yang; Yaping Fu (Appl. Soft Comput., 2025)

A cooperative Q-learning-based memetic algorithm for distributed assembly heterogeneous flexible flowshop scheduling. - Jiawen Deng; Jihui Zhang 003; Shengxiang Yang (Expert Syst. Appl., 2025)

Dynamic multiobjective optimization via an improved r-dominance relation and a novel prediction approach. - Yaru Hu; Junwei Ou; Huibing Wang; Juan Zou; Jinhua Zheng; Shengxiang Yang (Expert Syst. Appl., 2025)

A prediction approach based on long short-term memory networks for dynamic multiobjective optimization. - Biao Xu; Gejie Rang; Ruijie Xie; Wenji Li; Dunwei Gong; Zhun Fan; Shengxiang Yang; Jie He (Expert Syst. Appl., 2025)

A novel multi-level hierarchy optimization algorithm for pipeline inner detector speed control. - Jinze Liu; Jian Feng 001; Huaguang Zhang; Shengxiang Yang (Neurocomputing, 2025)

Adaptive stochastic configuration network based on online active learning for evolving data streams. - Yinan Guo 001; Jiayang Pu; Jiale He; Botao Jiao; Jianjiao Ji 001; Shengxiang Yang (Inf. Sci., 2025)

An improved adaptive large neighborhood search for the home health care routing and scheduling problem with multiple mixed time windows. - Wei Zhang; Wen Ma; Shengxiang Yang; Shengzong Chen; Jihui Zhang 003 (Inf. Sci., 2025)

Competitive many-task differential evolution with reinforcement learning and meta-knowledge transfer. - Yuxuan Song; Yue Xu 002; Dechang Pi; Shengxiang Yang (Knowl. Based Syst., 2025)

A decomposition framework with dual populations and dual stages for constrained multi-objective optimization. - Zhanglu Hou; Jialu Ye; Yizhang Xia; Yibin Gong; Juan Zou; Shengxiang Yang (Swarm Evol. Comput., 2025)

Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks. - Yao Huang; Yi-Nan Guo 001; Guoyu Chen; Hong Wei; Xiaoxiao Zhao; Shengxiang Yang; Shirong Ge (Swarm Evol. Comput., 2025)

A constrained multimodal multi-objective evolutionary algorithm based on adaptive epsilon method and two-level environmental selection. - Fengxia Wang; Min Huang 001; Shengxiang Yang; Xingwei Wang 001 (Swarm Evol. Comput., 2025)

Solving dynamic multi-objective engineering design problems via fuzzy c-means prediction algorithm. - Qingyang Zhang; Xueliang Fu; Shengxiang Yang; Shouyong Jiang; Miqing Li; Zedong Zheng (Swarm Evol. Comput., 2025)

Online Sparse Representation Clustering for Evolving Data Streams. - Jie Chen 065; Shengxiang Yang; Conor Fahy; Zhu Wang 007; Yinan Guo 001; Yingke Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Unified Tool. - Yiya Diao; Changhe Li; Sanyou Zeng; Xinye Cai; Wenjian Luo; Shengxiang Yang; Carlos A. Coello Coello (CoRR, 2025)

A Dynamic Optimization Framework for Computation Rate Maximization in UAV-Assisted Mobile Edge Computing. - Yang Chen 035; Dechang Pi; Shengxiang Yang; Yue Xu 002; Bi Wang 001; Shuo Qin 001; Yintong Wang (IEEE Trans. Veh. Technol., 2025)

A Prediction and Weak Coevolution-Based Dynamic Constrained Multiobjective Optimization. - Dunwei Gong; Miao Rong; Na Hu; Yan Wang 002; Witold Pedrycz; Shengxiang Yang (IEEE Trans. Evol. Comput., 2025)

Dynamic multiobjective evolutionary algorithm based on a knee point driven Gaussian model. - Guoyu Chen; Yinan Guo 001; Xiao Yang; Tianbing Ma; Shengxiang Yang; Liang Yuan (Expert Syst. Appl., 2026)