Changhe Li

Artificial Intelligence · Swarm and Evolutionary Computation · 2010–2017

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 70 citations into it; #12,828 of 35,345 by trust here, #14,181 by citations
• Computational Theory and Mathematics — 42 citations into it; #3,777 of 12,182 by trust here, #2,689 by citations
• Control and Systems Engineering — 10 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Biomedical Engineering — 7 citations into it

Whom Changhe Li trusts overall

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

1. Tim M. Blackwell
2. Xiaodong Li
3. J. Branke
4. R. Eberhart
5. Frans van den Bergh
6. Dervis Karaboga
7. Jing J. Liang
8. James Kennedy
9. Anne Auger
10. Ponnuthurai Nagaratnam Suganthan

Who trusts Changhe Li overall

1. Mohammad Reza Bonyadi
2. Muhammad Rizwan Tanweer
3. Yu Xue
4. Z. Michalewicz
5. Suresh Sundaram
6. Michalis Mavrovouniotis
7. Dongshu Wang
8. Bing Xue
9. Min Jiang
10. Shengxiang Yang

Papers from Changhe Li's perspective

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

1. No free lunch theorems for optimization
2. Tracking and optimizing dynamic systems with particle swarms (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
3. Population structure and particle swarm performance (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
4. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
5. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
6. Multi-swarm Optimization in Dynamic Environments (EvoWorkshops)
7. Genetic Algorithms in Search Optimization and Machine Learning
8. Evolutionary Optimization in Dynamic Environments (Genetic Algorithms and Evolutionary Computation)
9. Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology (IEEE Transactions on Evolutionary Computation)
10. Evolutionary optimization in uncertain environments-a survey (IEEE Transactions on Evolutionary Computation)

Their papers

• A survey of swarm intelligence for dynamic optimization: Algorithms and applications (2017) — 564 citations
• A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments (2010) — 350 citations
• Diversity enhanced particle swarm optimization with neighborhood search (2013) — 410 citations
• A Self-Learning Particle Swarm Optimizer for Global Optimization Problems (2012) — 373 citations