Zhenyu Yang

Artificial Intelligence · 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) · 2008–2018

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Zhenyu Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mitchell A. Potter
  2. Ponnuthurai Nagaratnam Suganthan
  3. Xin Yao
  4. A. K. Qin
  5. Kenneth De Jong
  6. Liviu Panait
  7. Wenjun Zhang
  8. Yong Liu
  9. Jianyong Sun
  10. Ke Tang

Who trusts Zhenyu Yang overall

  1. Ran Cheng
  2. Mohammad Nabi Omidvar
  3. Swagatam Das
  4. Yaochu Jin
  5. Sedigheh Mahdavi
  6. Ferrante Neri
  7. Ye Tian
  8. Xiaodong Li
  9. Ponnuthurai Nagaratnam Suganthan
  10. Xin Yao

Papers from Zhenyu Yang's perspective

Ordered by how strongly the researchers Zhenyu Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Cooperative Coevolutionary Approach to Function Optimization
  2. A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
  3. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems (Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753))
  4. Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms
  5. Self-adaptive differential evolution algorithm for numerical optimization (IEEE Congress on Evolutionary Computation)
  6. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  7. Large scale evolutionary optimization using cooperative coevolution (Information Sciences)
  8. BOA: the Bayesian optimization algorithm
  9. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
  10. Evolutionary Algorithms for Solving Multi-Objective Problems

Their papers