Shengxiang Yang

Research interests

Publications

• Evolutionary Dynamic Multi-objective Optimisation: A Survey

  ACM Computing Surveys · 2022 · 10.1145/3524495

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

  IEEE Transactions on Cybernetics · 2021 · 10.1109/tcyb.2021.3086501

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

  IEEE Transactions on Cybernetics · 2021 · 10.1109/tcyb.2020.3041212

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

  IEEE Transactions on Cybernetics · 2018 · 10.1109/tcyb.2018.2809430

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

  Swarm and Evolutionary Computation · 2017 · 10.1016/j.swevo.2016.12.005

• A benchmark test suite for evolutionary many-objective optimization

  Complex & Intelligent Systems · 2017 · 10.1007/s40747-017-0039-7

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

  IEEE Transactions on Evolutionary Computation · 2017 · 10.1109/tevc.2016.2592479

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

  Applied Soft Computing · 2017 · 10.1016/j.asoc.2017.08.004

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

  Applied Soft Computing · 2017 · 10.1016/j.asoc.2017.05.008

• Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons

  IEEE Transactions on Cybernetics · 2016 · 10.1109/tcyb.2015.2510698

• Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems

  IEEE Transactions on Cybernetics · 2016 · 10.1109/tcyb.2016.2556742

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

  IEEE Transactions on Evolutionary Computation · 2016 · 10.1109/tevc.2016.2574621

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

  IEEE Transactions on Cybernetics · 2015 · 10.1109/tcyb.2015.2403131

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

  IEEE Transactions on Evolutionary Computation · 2015 · 10.1109/tevc.2015.2504730

• Bi-goal evolution for many-objective optimization problems

  Artificial Intelligence · 2015 · 10.1016/j.artint.2015.06.007

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

  IEEE Transactions on Intelligent Transportation Systems · 2015 · 10.1109/tits.2015.2446985

• A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

  IEEE Transactions on Evolutionary Computation · 2013 · https://doi.org/10.1109/tevc.2012.2227145

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

  IEEE Transactions on Evolutionary Computation · 2013 · 10.1109/tevc.2013.2262178

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

  Swarm and Evolutionary Computation · 2012 · 10.1016/j.swevo.2012.05.001

• A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

  IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2011 · 10.1109/tsmcb.2011.2171946

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

  IEEE Transactions on Evolutionary Computation · 2010 · 10.1109/tevc.2010.2046667

• Population-Based Incremental Learning With Associative Memory for Dynamic Environments

  IEEE Transactions on Evolutionary Computation · 2008 · 10.1109/tevc.2007.913070

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

  Evolutionary Computation · 2008 · 10.1162/evco.2008.16.3.385

• Evolutionary Computation in Dynamic and Uncertain Environments

  Studies in computational intelligence · 2007 · 10.1007/978-3-540-49774-5

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

  Soft Computing · 2005 · 10.1007/s00500-004-0422-3

Current projects

No projects listed.