Weifeng Gao

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Weifeng Gao trusts overall

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

  1. Dervis Karaboga
  2. Bahriye Akay
  3. A. K. Qin
  4. Bilal Alatas
  5. Guopu Zhu
  6. Jingqiao Zhang
  7. Zhi-hui Zhan
  8. Fei Kang
  9. Janez Brest
  10. Xin Yao

Who trusts Weifeng Gao overall

  1. Sedigheh Mahdavi
  2. Arpan Kumar Kar
  3. Yu Xue
  4. Berat Dogan
  5. Shahryar Rahnamayan
  6. Tansel Dökeroğlu
  7. A-Min Yao
  8. Jiongming Jiang
  9. Dervis Karaboga
  10. Kalyanmoy Deb

Papers from Weifeng Gao's perspective

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

  1. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  2. Evolutionary programming made faster
  3. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  4. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (IEEE Transactions on Evolutionary Computation)
  5. On the performance of artificial bee colony (ABC) algorithm (Applied Soft Computing)
  6. 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))
  7. Self-adaptive differential evolution algorithm for numerical optimization (IEEE Congress on Evolutionary Computation)
  8. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
  9. The fully informed particle swarm: simpler, maybe better (IEEE Transactions on Evolutionary Computation)
  10. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION

Their papers