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
- Artificial Intelligence — 60 citations into it; #7,910 of 35,345 by trust here, #18,586 by citations
- Computational Theory and Mathematics — 42 citations into it; #3,682 of 12,182 by trust here, #6,798 by citations
- Industrial and Manufacturing Engineering — 6 citations into it; #895 of 2,521 by trust here, #1,884 by citations
- Genetics — 5 citations into it
Whom Weifeng Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dervis Karaboga
- Bahriye Akay
- A. K. Qin
- Bilal Alatas
- Guopu Zhu
- Jingqiao Zhang
- Zhi-hui Zhan
- Fei Kang
- Janez Brest
- Xin Yao
Who trusts Weifeng Gao overall
- Sedigheh Mahdavi
- Arpan Kumar Kar
- Yu Xue
- Berat Dogan
- Shahryar Rahnamayan
- Tansel Dökeroğlu
- A-Min Yao
- Jiongming Jiang
- Dervis Karaboga
- 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.
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Evolutionary programming made faster
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (IEEE Transactions on Evolutionary Computation)
- On the performance of artificial bee colony (ABC) algorithm (Applied Soft Computing)
- 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))
- Self-adaptive differential evolution algorithm for numerical optimization (IEEE Congress on Evolutionary Computation)
- Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
- The fully informed particle swarm: simpler, maybe better (IEEE Transactions on Evolutionary Computation)
- AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Their papers
- A modified artificial bee colony algorithm (2012) — 553 citations
- A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning (2013) — 383 citations
- A global best artificial bee colony algorithm for global optimization (2012) — 446 citations
- Improved artificial bee colony algorithm for global optimization (2011) — 344 citations