Shengxiang Yang

发表

Evolutionary Computation in Dynamic and Uncertain Environments

Shengxiang Yang, Yaochu Jin, Yew-Soon Ong, 2007, Studies in Computational Intelligence.

An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems

Ming Yang, Changhe Li, Shengxiang Yang, 2014, Evolutionary Computation.

A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains

Yong Wang, Shengxiang Yang, Biao Xu, 2017, IEEE Transactions on Evolutionary Computation.

A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems

Yong Wang, Shengxiang Yang, Wenyin Gong, 2017, IEEE Transactions on Evolutionary Computation.

Adaptive crossover in genetic algorithms using statistics mechanism

Shengxiang Yang, 2002 .

University of Birmingham Multi-Line Distance Minimization: A Visualized Many-Objective Test Problem Suite

Xiaohui Liu, M. Li, Shengxiang Yang, 2018 .

Adaptive group mutation for tackling deception in genetic search

Shengxiang Yang, 2004 .

Genetic algorithms based on primal-dual chromosomes for royal road functions

Shengxiang Yang, 2002 .

Multi-population methods with adaptive mutation for multi-modal optimization problems

Shengxiang Yang, I. Korejo, K. Brohi, 2013, SOCO 2013.

An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization

Shengxiang Yang, Lianbo Ma, Xingwei Wang, 2021, IEEE Transactions on Cybernetics.

Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System

Shengxiang Yang, Lianbo Ma, Xingwei Wang, 2021, IEEE Transactions on Cybernetics.

Dynamics in the Multi-objective Subset Sum: Analysing the Behavior of Population Based Algorithms

Shengxiang Yang, C. Grosan, I. Comsa, 2013 .

Non-stationary problem optimization using the primal-dual genetic algorithm

Shengxiang Yang, Shengxiang Yang, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

For Peer Review An Adaptive Multi-Population Framework for Locating and Tracking Multiple Optima

Shengxiang Yang, Trung Thanh Nguyen, Ming Yang, 2015 .

Benchmark Problems for CEC2018 Competition on Dynamic Multiobjective Optimisation

X. Yao, Marcus Kaiser, Shengxiang Yang, 2018 .

A sequence based genetic algorithm with local search for the travelling salesman problem

Changhe Li, Shengxiang Yang, Shakeel Arshad, 2009 .

Ant Colony Optimization with Local Search for Dynamic Travelling Salesman Problems

Shengxiang Yang, Michalis Mavrovouniotis, Felipe M. Müller, 2016 .

A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization

Shengxiang Yang, Junfei Qiao, Weichao Yue, 2021, Swarm Evol. Comput..

Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World

Qingfu Zhang, Zbigniew Michalewicz, Riccardo Poli, 2007 .

An Adaptive Penalty Scheme for Multiobjective Evolutionary Algorithm Based on Decomposition Shouyong Jiang and

Shengxiang Yang, 2016 .

Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables

Zhun Fan, Shengxiang Yang, D. Gong, 2022, Inf. Sci..

A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization

Jinhua Zheng, Shengxiang Yang, Sheng Qi, 2022, Swarm Evol. Comput..

Learning the dominance in diploid genetic algorithms for changing optimization problems

Shengxiang Yang, 2007 .

Benchmark Functions for the CEC'2018 Competition on Dynamic Multiobjective Optimization

Xin Yao, Kay Chen Tan, Shengxiang Yang, 2018 .

A neural network and heuristics hybrid strategy for job-shop scheduling problem

Shengxiang Yang, Dingwei Wang, Dingwei Wang, 1999 .

Dynamic multi-objective optimization algorithm based decomposition and preference

Shengxiang Yang, Jinhua Zheng, Yaru Hu, 2021, Inf. Sci..

Statistics-based adaptive non-uniform crossover for genetic algorithms

Shengxiang Yang, Shengxiang Yang, 2002 .

Dynamic Multi-objective Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions

Changhe Li, Shengxiang Yang, Sanyou Zeng, 2021 .

A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization

Shengxiang Yang, Jinhua Zheng, Yaru Hu, 2021, Inf. Sci..

A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2022, Swarm Evol. Comput..

Proceedings of the 2011 IEEE symposium on computational intelligence in dynamic and uncertain environments (CIDUE 2011)

Shengxiang Yang, Robi Polikar, Yaochu Jin, 2011 .

Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)

Shengxiang Yang, Yaochu Jin, Yew-Soon Ong, 2007 .

A New Moving Peaks Benchmark with Attractors for Dynamic Evolutionary Algorithms

Shengxiang Yang, Fabio Caraffini, Matthew Fox, 2022, Swarm and Evolutionary Computation.

A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2022, Swarm Evol. Comput..

University of Birmingham Bi-goal evolution for many-objective optimization problems

M. Li, Shengxiang Yang, Xiaohui Liu, 2015 .

A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization

Yaochu Jin, Jinhua Zheng, Shengxiang Yang, 2022, Inf. Sci..

An Evolutionary Algorithm Based on Independently Evolving Sub-problems for Multimodal Multi-objective Optimization

Jinhua Zheng, Shengxiang Yang, Jialiang Zhang, 2022, Information Sciences.

Evolutionary Dynamic Multi-objective Optimisation: A Survey

Xin Yao, Shengxiang Yang, Shouyong Jiang, 2022, ACM Comput. Surv..

A hybrid algorithm based on state-adaptive slime mold model and fractional-order ant system for the travelling salesman problem

Shengxiang Yang, Jian Wang, Kaixiang Zhang, 2022, Complex & Intelligent Systems.

Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization

F. Chiclana, Shengxiang Yang, A. Lewis, 2018, Soft Computing.

Constructing dynamic test environments for genetic algorithms based on problem difficulty

Shengxiang Yang, Shengxiang Yang, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Manifold clustering-based prediction for dynamic multiobjective optimization

B. Qu, Shengxiang Yang, Dunwei Gong, 2023, Swarm Evol. Comput..

Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams

Shengxiang Yang, Conor Fahy, Mario Gongora, 2019, IEEE Transactions on Cybernetics.

Evolutionary Dynamic Optimization: Test and Evaluation Environments

Changhe Li, Shengxiang Yang, Trung Thanh Nguyen, 2013 .

A Memetic Algorithm for the University Course Timetabling Problem

Shengxiang Yang, Sadaf Naseem Jat, S. N. Jat, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Evolutionary algorithms for dynamic optimization problems: workshop preface

Shengxiang Yang, Jürgen Branke, J. Branke, 2005, GECCO '05.

A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning

Changhe Li, Sanyou Zeng, Shengxiang Yang, 2019 .

Shengxiang Yang, Yong Zhang, Dunwei Gong, 2020, IEEE Transactions on Evolutionary Computation.

Hybrid of memory and prediction strategies for dynamic multiobjective optimization

Zexuan Zhu, Shengxiang Yang, Zhengping Liang, 2019, Inf. Sci..

A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization

Shengxiang Yang, Shouyong Jiang, Shengxiang Yang, 2017, IEEE Transactions on Evolutionary Computation.

Evolutionary dynamic optimization: A survey of the state of the art

Shengxiang Yang, Jürgen Branke, Trung Thanh Nguyen, 2012, Swarm Evol. Comput..

Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review

Shengxiang Yang, Hendrik Richter, Shengxiang Yang, 2013, Handbook of Optimization.

Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments

Shengxiang Yang, Xiaoguang Gao, Xingguang Peng, 2011, Soft Comput..

Agent Based Evolutionary Dynamic Optimization

Yang Yan, Dazhi Wang, Dingwei Wang, 2010 .

Population-Based Incremental Learning With Associative Memory for Dynamic Environments

Xin Yao, Shengxiang Yang, X. Yao, 2008, IEEE Transactions on Evolutionary Computation.

A multi-agent based evolutionary algorithm in non-stationary environments

Yang Yan, Shengxiang Yang, Dazhi Wang, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

A hybrid immigrants scheme for genetic algorithms in dynamic environments

Shengxiang Yang, Renato Tinós, R. Tinós, 2007, Int. J. Autom. Comput..

Experimental study on population-based incremental learning algorithms for dynamic optimization problems

Xin Yao, Shengxiang Yang, X. Yao, 2005, Soft Comput..

Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms

Shengxiang Yang, Shengxiang Yang, 2003, SGAI Conf..

PDGA: the Primal-Dual Genetic Algorithm

Shengxiang Yang, Shengxiang Yang, 2003, HIS.

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization

Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor, 2019, IEEE Transactions on Cybernetics.

A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization

Jinhua Zheng, Miqing Li, Yaru Hu, 2019, Appl. Soft Comput..

A predictive strategy based on special points for evolutionary dynamic multi-objective optimization

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2019, Soft Comput..

A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2017, Appl. Soft Comput..

The effect of diversity maintenance on prediction in dynamic multi-objective optimization

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2017, Appl. Soft Comput..

A survey of swarm intelligence for dynamic optimization: Algorithms and applications

Changhe Li, Shengxiang Yang, Michalis Mavrovouniotis, 2017, Swarm Evol. Comput..

Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons

Shengxiang Yang, Shouyong Jiang, Shengxiang Yang, 2017, IEEE Transactions on Cybernetics.

A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2012, IEEE Transactions on Evolutionary Computation.

Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints

Yong Wang, Shengxiang Yang, Guangyong Sun, 2019, IEEE Transactions on Cybernetics.

An improved constraint satisfaction adaptive neural network for job-shop scheduling

Graham Kendall, Tianyou Chai, Shengxiang Yang, 2010, J. Sched..

Use of the q-Gaussian mutation in evolutionary algorithms

Shengxiang Yang, Renato Tinós, R. Tinós, 2011, Soft Comput..

Self-adaptation of mutation distribution in evolutionary algorithms

Shengxiang Yang, Renato Tinós, R. Tinós, 2007, 2007 IEEE Congress on Evolutionary Computation.

A memetic ant colony optimization algorithm for the dynamic travelling salesman problem

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2011, Soft Comput..

Novel Prediction Strategies for Dynamic Multiobjective Optimization

Shengxiang Yang, Xiaoli Li, Shouyong Jiang, 2020, IEEE Transactions on Evolutionary Computation.

Continuous dynamic problem generators for evolutionary algorithms

Shengxiang Yang, Renato Tinós, R. Tinós, 2007, 2007 IEEE Congress on Evolutionary Computation.

An adaptive learning particle swarm optimizer for function optimization

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2009, 2009 IEEE Congress on Evolutionary Computation.

Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2014, IEEE Transactions on Evolutionary Computation.

IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2013, EMO.

An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals

Shengxiang Yang, Zhen Wang, Jihui Zhang, 2019, Swarm Evol. Comput..

Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems

Shengxiang Yang, Michalis Mavrovouniotis, Felipe M. Müller, 2017, IEEE Transactions on Cybernetics.

Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization

Andrew Lewis, Shengxiang Yang, Francisco Chiclana, 2018, Soft Comput..

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties

Jinliang Ding, Tianyou Chai, Shengxiang Yang, 2020, IEEE Transactions on Control Systems Technology.

A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing

Shengxiang Yang, Benjamin N. Passow, Muhanad Tahrir Younis, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Hybrid meta-heuristic algorithms for independent job scheduling in grid computing

Shengxiang Yang, Muhanad Tahrir Younis, Shengxiang Yang, 2018, Appl. Soft Comput..

Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing

Shengxiang Yang, Benjamin N. Passow, Muhanad Tahrir Younis, 2017, EvoApplications.

A Comparative Study of Adaptive Mutation Operators for Genetic Algorithms

Shengxiang Yang, Shengxiang Yang, I. Korejo, 2009 .

Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms

Shengxiang Yang, Shengxiang Yang, 2002, GECCO.

A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2021, Inf. Sci..

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms

Shengxiang Yang, Yong Wang, Ke Tang, 2019, IEEE Transactions on Cybernetics.

A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

Changhe Li, Shengxiang Yang, Trung Thanh Nguyen, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2021, Swarm Evol. Comput..

A many-objective evolutionary algorithm based on rotated grid

Shengxiang Yang, Jinhua Zheng, Yaru Hu, 2018, Appl. Soft Comput..

Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2014, IEEE Transactions on Cybernetics.

Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2014, IEEE Transactions on Cybernetics.

An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts

Shengxiang Yang, Shouyong Jiang, Shengxiang Yang, 2016, IEEE Transactions on Cybernetics.

A benchmark test suite for evolutionary many-objective optimization

Xin Yao, Shengxiang Yang, Ye Tian, 2017, Complex & Intelligent Systems.

A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

Shengxiang Yang, Jinhua Zheng, Xiaohui Liu, 2013, IEEE Transactions on Evolutionary Computation.

Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms

Yong Wang, Shengxiang Yang, Shouyong Jiang, 2018, IEEE Transactions on Evolutionary Computation.

Metaheuristics for dynamic combinatorial optimization problems.

Shengxiang Yang, Trung Thanh Nguyen, Yong Jiang, 2013 .

Evolutionary Dynamic Optimization: Methodologies

Shengxiang Yang, Trung Thanh Nguyen, Xin Yao, 2013 .

A self-organizing random immigrants genetic algorithm for dynamic optimization problems

Shengxiang Yang, Renato Tinós, R. Tinós, 2007, Genetic Programming and Evolvable Machines.

Adaptive neighborhood selection for many-objective optimization problems

Shengxiang Yang, Jinhua Zheng, Yuping Zhang, 2018, Appl. Soft Comput..

Handling Constrained Many-Objective Optimization Problems via Problem Transformation

Changhe Li, Ruwang Jiao, Yew-Soon Ong, 2020, IEEE Transactions on Cybernetics.

Differential evolution with a two-stage optimization mechanism for numerical optimization

Yong Wang, Zixing Cai, Shengxiang Yang, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2016, IEEE Transactions on Evolutionary Computation.

Ant algorithms with immigrants schemes for the dynamic vehicle routing problem

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2015, Inf. Sci..

Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2013, Appl. Soft Comput..

Ant Colony Optimization Algorithms with Immigrants Schemes for the Dynamic Travelling Salesman Problem

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2013 .

Ant colony optimization with direct communication for the traveling salesman problem

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2010, 2010 UK Workshop on Computational Intelligence (UKCI).

Benchmark Generator for CEC'2009 Competition on Dynamic Optimization

Xin Yao, Changhe Li, Shengxiang Yang, 2008 .

Memory Based on Abstraction for Dynamic Fitness Functions

Shengxiang Yang, Hendrik Richter, Shengxiang Yang, 2008, EvoWorkshops.

A two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization

Shengxiang Yang, Jinhua Zheng, Zhipan Li, 2021, Inf. Sci..

Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite

Xin Yao, Shengxiang Yang, Miqing Li, 2018, IEEE Transactions on Evolutionary Computation.

A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2015, GECCO.

A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2013, EMO.

On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments

Shengxiang Yang, Shengxiang Yang, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Primal-dual genetic algorithms for royal road functions

Shengxiang Yang, Shengxiang Yang, 2002 .

An adaptation reference-point-based multiobjective evolutionary algorithm

Shengxiang Yang, Jinhua Zheng, Lei Wang, 2019, Inf. Sci..

Adaptive mutation with fitness and allele distribution correlation for genetic algorithms

Shengxiang Yang, A. Sima Etaner-Uyar, Shengxiang Yang, 2006, SAC.

A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling

Shengxiang Yang, Sadaf Naseem Jat, S. N. Jat, 2011, J. Sched..

A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization

Yong Wang, Zixing Cai, Shengxiang Yang, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Memory-based multi-population genetic learning for dynamic shortest path problems

Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling

Shengxiang Yang, Dingwei Wang, Dingwei Wang, 2000, IEEE Trans. Neural Networks Learn. Syst..

Genetic algorithm and neural network hybrid approach for job-shop scheduling

Shengxiang Yang, Kai Zhao, Dingwei Wang, 1998 .

Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions

Xin Lin, Wenjian Luo, Wenjie Liu, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection

Fei Li, Ke Gu, Junfei Qiao, 2020, Inf. Sci..

Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks

Hui Cheng, Shengxiang Yang, Shengxiang Yang, 2010, Eng. Appl. Artif. Intell..

A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems

Shengxiang Yang, Dingwei Wang, Hongfeng Wang, 2009, Soft Comput..

Adaptive Primal–Dual Genetic Algorithms in Dynamic Environments

Shengxiang Yang, Dingwei Wang, Andrew W. H. Ip, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Meta-heuristic Techniques in Microgrid Management: A Survey

Shengxiang Yang, Yinan Guo, X. Jin, 2023, Swarm Evol. Comput..

Bi-goal evolution for many-objective optimization problems

Shengxiang Yang, Xiaohui Liu, Miqing Li, 2015, Artif. Intell..

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2010, IEEE Transactions on Evolutionary Computation.

A clustering particle swarm optimizer for dynamic optimization

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2009, 2009 IEEE Congress on Evolutionary Computation.

An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima

Ming Yang, Changhe Li, Shengxiang Yang, 2016, IEEE Transactions on Evolutionary Computation.

Multi-population methods in unconstrained continuous dynamic environments: The challenges

Ming Yang, Changhe Li, Shengxiang Yang, 2015, Inf. Sci..

A Comparative Study on Particle Swarm Optimization in Dynamic Environments

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2013 .

Compound Particle Swarm Optimization in Dynamic Environments

Shengxiang Yang, Lili Liu, Dingwei Wang, 2008, EvoWorkshops.

A comparative study of immune system based genetic algorithms in dynamic environments

Shengxiang Yang, Shengxiang Yang, 2006, GECCO.

Memory-based immigrants for genetic algorithms in dynamic environments

Shengxiang Yang, Shengxiang Yang, 2005, GECCO '05.

A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2008, SEAL.

Particle Swarm Optimization With Composite Particles in Dynamic Environments

Shengxiang Yang, Lili Liu, Dingwei Wang, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

An adaptive local search algorithm for real-valued dynamic optimization

Shengxiang Yang, Ferrante Neri, Michalis Mavrovouniotis, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Computation for Dynamic Optimization Problems

Shengxiang Yang, Shengxiang Yang, 2015, GECCO.

Evolutionary computation for dynamic optimization problems

Shengxiang Yang, Shengxiang Yang, 2013, GECCO.

Hyper-learning for population-based incremental learning in dynamic environments

Shengxiang Yang, Hendrik Richter, Shengxiang Yang, 2009, 2009 IEEE Congress on Evolutionary Computation.

Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments

Shengxiang Yang, Shengxiang Yang, 2008, Evolutionary Computation.

Hyper-selection in dynamic environments

Shengxiang Yang, Renato Tinós, R. Tinós, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments

Shengxiang Yang, Shengxiang Yang, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

Dominance learning in diploid genetic algorithms for dynamic optimization problems

Shengxiang Yang, Shengxiang Yang, 2006, GECCO '06.

Associative Memory Scheme for Genetic Algorithms in Dynamic Environments

Shengxiang Yang, Shengxiang Yang, 2006, EvoWorkshops.

Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems

Shengxiang Yang, Shengxiang Yang, 2005, 2005 IEEE Congress on Evolutionary Computation.

Population-based incremental learning with memory scheme for changing environments

Shengxiang Yang, Shengxiang Yang, 2005, GECCO '05.

Dual population-based incremental learning for problem optimization in dynamic environments

Xin Yao, Shengxiang Yang, X. Yao, 2003 .

Learning behavior in abstract memory schemes for dynamic optimization problems

Shengxiang Yang, Hendrik Richter, Shengxiang Yang, 2009, Soft Comput..

Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks

Jiannong Cao, Hui Cheng, Shengxiang Yang, 2013, Expert Syst. Appl..

Genetic Algorithms for Dynamic Routing Problems in Mobile Ad Hoc Networks

Hui Cheng, Shengxiang Yang, Shengxiang Yang, 2013 .

Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks

Hui Cheng, Shengxiang Yang, Shengxiang Yang, 2010, EvoApplications.

Benchmark Functions for CEC ’ 2017 Competition on Evolutionary Many-Objective Optimization

Xin Yao, Shengxiang Yang, Ye Tian, 2017 .

Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments

Shengxiang Yang, Renato Tinós, R. Tinós, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

A Directed Mutation Operator for Real Coded Genetic Algorithms

Changhe Li, Shengxiang Yang, Imtiaz Korejo, 2010, EvoApplications.

Analyzing Evolutionary Algorithms for Dynamic Optimization Problems Based on the Dynamical Systems Approach

Shengxiang Yang, Renato Tinós, R. Tinós, 2013 .

An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System

Shengxiang Yang, Renato Tinós, R. Tinós, 2010, PPSN.

Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2013, Automated Scheduling and Planning.

Training neural networks with ant colony optimization algorithms for pattern classification

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2015, Soft Comput..

A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization

Shengxiang Yang, Jinhua Zheng, Yuping Zhang, 2019, Swarm Evol. Comput..

A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure

Yue Xu, Dechang Pi, Yang Chen, 2021, Reliab. Eng. Syst. Saf..

A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization

Shengxiang Yang, Shouyong Jiang, Shengxiang Yang, 2017, IEEE Transactions on Evolutionary Computation.

A benchmark generator for dynamic multi-objective optimization problems

Shengxiang Yang, Shouyong Jiang, Shengxiang Yang, 2014, 2014 14th UK Workshop on Computational Intelligence (UKCI).

A dynamic multi-objective evolutionary algorithm based on intensity of environmental change

Yaru Hu, Junwei Ou, Jinhua Zheng, 2020, Inf. Sci..

A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2019, Swarm Evol. Comput..

A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems

Changhe Li, Shengxiang Yang, Sanyou Zeng, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2023, IEEE Transactions on Evolutionary Computation.

A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems

Jinhua Zheng, Juan Zou, Qi Deng, 2020, Inf. Sci..

A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization

Yaru Hu, Junwei Ou, Jinhua Zheng, 2021, Swarm Evol. Comput..

Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization

Jinhua Zheng, Juan Zou, Shengxiang Yang, 2020, Appl. Soft Comput..

A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Ant Colony Optimization with Immigrants Schemes in Dynamic Environments

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2010, PPSN.

An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems

Yaochu Jin, Shengxiang Yang, Yinan Guo, 2022, Complex & Intelligent Systems.

Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks

Hui Cheng, Shengxiang Yang, Fang Wang, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm

Xiaojun Zhou, Shengxiang Yang, Chunhua Yang, 2019, Cognitive Computation.

Evolving neural networks using ant colony optimization with pheromone trail limits

Shengxiang Yang, Michalis Mavrovouniotis, Shengxiang Yang, 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI).

PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization

Shengxiang Yang, Peilan Xu, Wenjian Luo, 2021, Swarm Evol. Comput..

Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2022, Swarm Evol. Comput..

A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts

Kang Wang, Shengxiang Yang, Xin Li, 2023, Inf. Sci..

A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization

Zexuan Zhu, Shengxiang Yang, Zhengping Liang, 2021, Expert Syst. Appl..

Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima

Shengxiang Yang, Lili Liu, Dingwei Wang, 2012, Inf. Sci..

A memetic particle swarm optimization algorithm for multimodal optimization problems

Shengxiang Yang, Dingwei Wang, Hongfeng Wang, 2011, 2011 Chinese Control and Decision Conference (CCDC).

A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem

Shengxiang Yang, Sadaf Naseem Jat, S. N. Jat, 2011, EvoCOP.

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems

Tianyou Chai, Jinliang Ding, Qingda Chen, 2020, IEEE Transactions on Evolutionary Computation.

A multiobjective state transition algorithm based on modified decomposition method

Shengxiang Yang, Chunhua Yang, Xiaojun Zhou, 2021, Appl. Soft Comput..

A Multiobjective State Transition Algorithm Based on Decomposition

Xiaojun Zhou, Shengxiang Yang, Jiajia Zhou, 2021 .

Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]

Changhe Li, Mien Van, Michalis Mavrovouniotis, 2020, IEEE Computational Intelligence Magazine.

An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty

E. Zio, Shengxiang Yang, D. Pi, 2023, IEEE Transactions on Automation Science and Engineering.

A Hybrid Approach to Piecewise Modelling of Biochemical Systems

Shengxiang Yang, David R. Gilbert, Zujian Wu, 2012, PPSN.

Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout

Yong Wang, Shengxiang Yang, Zijun Zhang, 2018, IEEE Transactions on Industrial Informatics.

Adaptive learning particle swarm optimizer-II for global optimization

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2010, IEEE Congress on Evolutionary Computation.

A genetic algorithm for independent job scheduling in grid computing

Shengxiang Yang, Muhanad Tahrir Younis, Shengxiang Yang, 2017 .

ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization

Shengxiang Yang, Jinhua Zheng, Miqing Li, 2014, Evolutionary Computation.

Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams

Shengxiang Yang, Conor Fahy, Shengxiang Yang, 2019, IEEE Transactions on Big Data.

Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems

Shengxiang Yang, Shengxiang Yang, 2007, EvoWorkshops.

A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2021, Knowl. Based Syst..

Niche-based and angle-based selection strategies for many-objective evolutionary optimization

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2021, Inf. Sci..

Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control

Tianyou Chai, Shengxiang Yang, Jinliang Ding, 2014, IEEE Transactions on Automation Science and Engineering.

A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks

Xin Yao, Shengxiang Yang, Wei Fang, 2015, IEEE Transactions on Intelligent Transportation Systems.

Analysis and multi-objective optimization of slag powder process

Xiaoli Li, Yang Li, Shengxiang Yang, 2020, Appl. Soft Comput..

A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution

Shengxiang Yang, Jinhua Zheng, Yaru Hu, 2021, Swarm Evol. Comput..

An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance

Shengxiang Yang, Jinhua Zheng, Junwei Ou, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Accelerating differential evolution based on a subset-to-subset survivor selection operator

Zhijian Li, Jinglei Guo, Shengxiang Yang, 2019, Soft Comput..

A particle swarm optimization based memetic algorithm for dynamic optimization problems

Shengxiang Yang, Dingwei Wang, Andrew W. H. Ip, 2010, Natural Computing.

A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation

Shengxiang Yang, Jinhua Zheng, Juan Zou, 2019, Inf. Sci..

An adaptive mutation operator for particle swarm optimization

Changhe Li, Shengxiang Yang, Imtiaz Korejo, 2008 .

Dynamic Stream Clustering Using Ants

Shengxiang Yang, Conor Fahy, Shengxiang Yang, 2016, UKCI.

hybrid evolutionary multiobjective optimization strategy for the dynamic ower supply problem in magnesia grain manufacturing

Tianyou Chai, Shengxiang Yang, Jinliang Ding, 2013 .

Approximating Multiobjective Optimization Problems with Complex Pareto Fronts

Shengxiang Yang, Shouyong Jiang, Shengxiang Yang, 2015 .

Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark pdf

Shengxiang Yang, Mohammad Nabi Omidvar, Xiaodong Li, 2021, ArXiv.

Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization

Yang Li, Xin Li, Kang Wang, 2020, Neural Computing and Applications.

Fast Multi-Swarm Optimization for Dynamic Optimization Problems

Changhe Li, Shengxiang Yang, Shengxiang Yang, 2008, 2008 Fourth International Conference on Natural Computation.

Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling

Shengxiang Yang, Sadaf Naseem Jat, S. N. Jat, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

A guided search genetic algorithm for the university course timetabling problem.

Shengxiang Yang, Sadaf Naseem Jat, S. N. Jat, 2009 .

A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2023, Inf. Sci..

Improving the JADE algorithm by clustering successful parameters

Shengxiang Yang, Zhijian Li, Jinglei Guo, 2016, Int. J. Wirel. Mob. Comput..

A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty

Shengxiang Yang, Junfei Qiao, Cuili Yang, 2019, Appl. Soft Comput..

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes

Shengxiang Yang, Yong Jiang, Shouyong Jiang, 2017, Soft Comput..

A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2023, Swarm Evol. Comput..

A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification

Zexuan Zhu, Xiaoliang Ma, Zhengping Liang, 2020, IEEE Transactions on Cybernetics.

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces

Tianyou Chai, Shengxiang Yang, Jinliang Ding, 2013, 2013 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).

Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases

Shengxiang Yang, Wolfgang Leister, Liming Chen, 2015, 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom).

A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation

Jun Sun, Xiaojun Wu, Shengxiang Yang, 2019, IEEE Transactions on Cybernetics.

Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems

Shengxiang Yang, Renato Tinós, R. Tinós, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Genetic algorithms with self-organized criticality for dynamic optimization problems

Shengxiang Yang, Renato Tinós, R. Tinós, 2005, 2005 IEEE Congress on Evolutionary Computation.

An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2023, Inf. Sci..

A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective Optimization

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2023, GECCO Companion.

A particle swarm algorithm based on the dual search strategy for dynamic multi-objective optimization

Jinhua Zheng, Shengxiang Yang, Juan Zou, 2023, Swarm Evol. Comput..