B. Qu

Artificial Intelligence · IEEE Transactions on Evolutionary Computation · 2011–2023

A researcher in the Science corpus: 10 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 152 citations into it; #13,677 of 35,345 by trust here, #8,365 by citations
• Computational Theory and Mathematics — 131 citations into it; #4,109 of 12,182 by trust here, #1,319 by citations
• Electrical and Electronic Engineering — 45 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom B. Qu trusts overall

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

1. Jian-Ping Li
2. René Thomsen
3. Xiaodong Li
4. John H. Holland
5. Rui Mendes
6. Kalyanmoy Deb
7. James Kennedy
8. Mike Preuss
9. Carlos Artemio Coello Coello
10. Michael G. Epitropakis

Who trusts B. Qu overall

1. Swagatam Das
2. Ye Tian
3. Ran Cheng
4. Ponnuthurai Nagaratnam Suganthan
5. Sankha Subhra Mullick
6. Javier Del Ser
7. Yaochu Jin
8. Yujun Zheng
9. Ryoji Tanabe
10. James Jian Qiao Yu

Papers from B. Qu's perspective

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

1. A fast and elitist multiobjective genetic algorithm: NSGA-II
2. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
3. No free lunch theorems for optimization
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. Genetic Algorithms in Search Optimization and Machine Learning
7. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
8. Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
9. Constraint Handling in Multiobjective Evolutionary Optimization (IEEE Transactions on Evolutionary Computation)
10. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

Their papers

• Multiobjective evolutionary algorithms: A survey of the state of the art (2011) — 2,213 citations
• A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization (2013) — 376 citations
• Differential Evolution With Neighborhood Mutation for Multimodal Optimization (2012) — 414 citations
• Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art (2011) — 318 citations
• A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems (2018) — 473 citations
• Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models (2018) — 357 citations
• A Survey on Evolutionary Constrained Multiobjective Optimization (2023) — 347 citations
• A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module (2019) — 412 citations
• Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization (2014) — 1,566 citations
• Multi-objective economic emission dispatch considering wind power using evolutionary algorithm based on decomposition (2014) — 111 citations