Yun Li
Artificial Intelligence · IEEE Transactions on Evolutionary Computation · 2005–2018
A researcher in the Science corpus: 8 papers; trusts 33 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it; #13,628 of 35,345 by trust here, #12,083 by citations
- Computational Theory and Mathematics — 47 citations into it; #4,099 of 12,182 by trust here, #2,060 by citations
- Computer Networks and Communications — 34 citations into it
- Information Systems — 33 citations into it
- Control and Systems Engineering — 17 citations into it; #2,173 of 8,257 by trust here, #1,875 by citations
- Biomedical Engineering — 7 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Yun Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Eberhart
- James Kennedy
- Zhi-hui Zhan
- Jing J. Liang
- Chia-Feng Juang
- Rui Mendes
- Ponnuthurai Nagaratnam Suganthan
- David B. Fogel
- Asanga Ratnaweera
- Jun Zhang
Who trusts Yun Li overall
Papers from Yun Li's perspective
Ordered by how strongly the researchers Yun Li 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))
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Comparison between Genetic Algorithms and Particle Swarm Optimization
- A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
- Population structure and particle swarm performance (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Dissipative particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- jMetal: A Java framework for multi-objective optimization (Advances in Engineering Software)
- Multiobjective optimization using dynamic neighborhood particle swarm optimization (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
- Distributed evolutionary algorithms and their models: A survey of the state-of-the-art (2015) — 372 citations
- Orthogonal Learning Particle Swarm Optimization (2009) — 738 citations
- Particle Swarm Optimization With an Aging Leader and Challengers (2013) — 589 citations
- Genetic Learning Particle Swarm Optimization (2016) — 487 citations
- An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018) — 368 citations
- Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015) — 468 citations
- PID control system analysis, design, and technology (2005) — 3,018 citations