World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
22296
World Ranking
1153
National Ranking
67

Overview

Shengxiang Yang is affiliated with De Montfort University in the United Kingdom and has contributed extensively to the fields of computer science and engineering. Their work primarily spans artificial intelligence, computational theory and mathematics, and various engineering disciplines.

Their research topics include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Optimal Experimental Design Methods
  • Data Stream Mining Techniques
  • Vehicle Routing Optimization Methods
  • Topology Optimization in Engineering

Yang has authored publications in several venues, frequently contributing to:

  • Swarm and Evolutionary Computation
  • Information Sciences
  • IEEE Transactions on Evolutionary Computation
  • Applied Soft Computing
  • SSRN Electronic Journal

Notable recent papers include:

  • "An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization," 2021, IEEE Transactions on Cybernetics
  • "Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System," 2021, IEEE Transactions on Cybernetics
  • "Handling Constrained Many-Objective Optimization Problems via Problem Transformation," 2020, IEEE Transactions on Cybernetics
  • "Evolutionary Dynamic Multi-objective Optimisation: A Survey," 2022, ACM Computing Surveys
  • "A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems," 2021, Information Sciences

Frequent co-authors in their collaborative work include:

  • Juan Zou
  • Jinhua Zheng
  • Yaru Hu
  • Changhe Li
  • Yuan Liu

Yang has contributed to book publications under Springer Science+Business Media, including the 2024 title Intelligent Information Processing XII.

Best Publications

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

    Shengxiang Yang;Miqing Li;Xiaohui Liu;Jinhua Zheng

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

    Trung Thanh Nguyen;Shengxiang Yang;Juergen Branke

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

    Miqing Li;Shengxiang Yang;Xiaohui Liu

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

    Michalis Mavrovouniotis;Changhe Li;Shengxiang Yang

  • A benchmark test suite for evolutionary many-objective optimization

    Ran Cheng;Miqing Li;Ye Tian;Xingyi Zhang

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

    Changhe Li;Shengxiang Yang;Trung Thanh Nguyen

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

    Shengxiang Yang;Changhe Li

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

    Shouyong Jiang;Shengxiang Yang

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

    Shouyong Jiang;Shengxiang Yang

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

    Shengxiang Yang;Xin Yao

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

    Shengxiang Yang;Xin Yao

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

    Miqing Li;Shengxiang Yang;Xiaohui Liu

  • Genetic algorithms with memory-and elitism-based immigrants in dynamic environments

    Shengxiang Yang

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

    Lianbo Ma;Min Huang;Shengxiang Yang;Rui Wang

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

    Michalis Mavrovouniotis;Felipe M. Muller;Shengxiang Yang

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

    Shouyong Jiang;Shengxiang Yang

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

    Shengxiang Yang;Hui Cheng;Fang Wang

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

    Wei Fang;Shengxiang Yang;Xin Yao

  • Bi-goal evolution for many-objective optimization problems

    Miqing Li;Shengxiang Yang;Xiaohui Liu

  • Benchmark Generator for CEC'2009 Competition on Dynamic Optimization

    C Li;S Yang;T T Nguyen;E L Yu

  • Evolutionary computation in dynamic and uncertain environments

    Shengxiang Yang;Yew-Soon Ong;Yaochu Jin

Frequent Co-Authors

Xin Yao
Xin Yao Lingnan University
Dingwei Wang
Dingwei Wang Northeastern University
Miqing Li
Miqing Li University of Birmingham
Yaochu Jin
Yaochu Jin Westlake University
Xiaohui Liu
Xiaohui Liu Brunel University London
Yong Wang
Yong Wang Central South University
Tianyou Chai
Tianyou Chai Northeastern University
Ferrante Neri
Ferrante Neri University of Nottingham
Natalio Krasnogor
Natalio Krasnogor Newcastle University
Marcus Kaiser
Marcus Kaiser University of Nottingham

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