Hui Li
Computational Theory and Mathematics · IEEE Transactions on Evolutionary Computation · 2007–2017
A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 169 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 93 citations into it; #56 of 12,182 by trust here, #222 by citations
- Artificial Intelligence — 81 citations into it; #1,317 of 35,345 by trust here, #3,638 by citations
- Management Science and Operations Research — 14 citations into it
- Statistics and Probability — 11 citations into it
- Control and Systems Engineering — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Hui Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Eckart Zitzler
- Kaisa Miettinen
- Lothar Thiele
- Marco Laumanns
- Nateri K. Madavan
- Peter A. N. Bosman
- Carlos Artemio Coello Coello
- Qingfu Zhang
- Marco Farina
Who trusts Hui Li overall
- Ye Tian
- Qingfu Zhang
- Ran Cheng
- Yaochu Jin
- Ke Li
- Xing-yi Zhang
- Xin-She Yang
- Yuan Yuan
- Kalyanmoy Deb
- Himanshu Jain
Papers from Hui Li's perspective
Ordered by how strongly the researchers Hui Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- Multi-objective optimization using evolutionary algorithms
- Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
- SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
- Nonlinear multiobjective optimization
- Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- The balance between proximity and diversity in multiobjective evolutionary algorithms (IEEE Transactions on Evolutionary Computation)
- An Efficient Constraint Handling Method for Genetic Algorithms
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
- Genetic Algorithms in Search
Their papers
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (2007) — 8,984 citations
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (2009) — 2,363 citations
- Multiobjective evolutionary algorithms: A survey of the state of the art (2011) — 2,213 citations
- The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances (2009) — 621 citations
- Push and Pull Search for Solving Constrained Multi-objective Optimization Problems (2017) — 515 citations