Jun Zhang

Artificial Intelligence · IEEE Transactions on Evolutionary Computation · 2007–2021

A researcher in the Science corpus: 14 papers; trusts 74 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 205 citations into it; #3,935 of 35,345 by trust here, #6,517 by citations
• Computational Theory and Mathematics — 140 citations into it; #1,985 of 12,182 by trust here, #1,101 by citations
• Computer Networks and Communications — 49 citations into it; #6,771 of 9,886 by trust here, #5,133 by citations
• Information Systems — 40 citations into it; #5,713 of 8,771 by trust here, #4,682 by citations
• Control and Systems Engineering — 26 citations into it; #493 of 8,257 by trust here, #1,252 by citations
• Management Science and Operations Research — 24 citations into it
• Hardware and Architecture — 10 citations into it
• Industrial and Manufacturing Engineering — 10 citations into it; #673 of 2,521 by trust here, #1,494 by citations

Whom Jun Zhang trusts overall

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

1. R. Eberhart
2. James Kennedy
3. Kalyanmoy Deb
4. Jing J. Liang
5. Yuhui Shi
6. Zhi-hui Zhan
7. Rui Mendes
8. David E. Goldberg
9. Yaochu Jin
10. Xiaohui Hu

Who trusts Jun Zhang overall

1. Zhi-hui Zhan
2. Ran Cheng
3. Zahra Beheshti
4. Jingjing Li
5. Pinar Çivicioglu
6. Weifeng Gao
7. James Jian Qiao Yu
8. Yaochu Jin
9. Mohammad Reza Bonyadi
10. Muhammad Rizwan Tanweer

Papers from Jun Zhang's perspective

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

1. Genetic Algorithms in Search Optimization and Machine Learning
2. A fast and elitist multiobjective genetic algorithm: NSGA-II
3. Multi-objective optimization using evolutionary algorithms
4. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
5. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
6. A new optimizer using particle swarm theory
7. No free lunch theorems for optimization
8. An Efficient Constraint Handling Method for Genetic Algorithms
9. Comparison between Genetic Algorithms and Particle Swarm Optimization
10. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)

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
• Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms (2014) — 319 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
• Clustering-Based Adaptive Crossover and Mutation Probabilities for Genetic Algorithms (2007) — 329 citations
• A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems (2010) — 413 citations
• Genetic Learning Particle Swarm Optimization (2016) — 487 citations
• A survey on evolutionary computation for complex continuous optimization (2021) — 389 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
• An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements (2009) — 383 citations
• Adaptive Particle Swarm Optimization (2008) — 2,028 citations