Yu-hui Shi
Artificial Intelligence · 2009–2016
A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it; #12,188 of 35,345 by trust here, #10,430 by citations
- Computational Theory and Mathematics — 56 citations into it; #3,562 of 12,182 by trust here, #1,587 by citations
- Control and Systems Engineering — 24 citations into it; #4,207 of 8,257 by trust here, #3,389 by citations
- Biomedical Engineering — 7 citations into it
- Management Science and Operations Research — 6 citations into it
- Molecular Biology — 5 citations into it
- Numerical Analysis — 5 citations into it
Whom Yu-hui Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Eberhart
- James Kennedy
- Zhi-hui Zhan
- Kalyanmoy Deb
- Jing J. Liang
- Jun Zhang
- Chia-Feng Juang
- Yuhui Shi
- Rui Mendes
- Xiaohui Hu
Who trusts Yu-hui Shi overall
Papers from Yu-hui Shi's perspective
Ordered by how strongly the researchers Yu-hui Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- A new optimizer using particle swarm theory
- Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
- Comparison between Genetic Algorithms and Particle Swarm Optimization
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
- Multi-objective optimization using evolutionary algorithms
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
- Population structure and particle swarm performance (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
Their papers
- Evolutionary Computation Meets Machine Learning: A Survey (2011) — 269 citations
- Orthogonal Learning Particle Swarm Optimization (2009) — 738 citations
- Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems (2013) — 310 citations
- Particle Swarm Optimization With an Aging Leader and Challengers (2013) — 589 citations
- A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems (2010) — 413 citations
- Genetic Learning Particle Swarm Optimization (2016) — 487 citations