Jingjing Li
Artificial Intelligence · IEEE Transactions on Cybernetics · 2013–2016
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it
- Computational Theory and Mathematics — 46 citations into it
- Control and Systems Engineering — 8 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Jingjing Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Zhi-hui Zhan
- Jun Zhang
- R. Eberhart
- James Kennedy
- Qingfu Zhang
- Dengfeng Li
- Chia-Feng Juang
- Eckart Zitzler
- Hui Li
Who trusts Jingjing Li overall
Papers from Jingjing Li's perspective
Ordered by how strongly the researchers Jingjing Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- A new optimizer using particle swarm theory
- Multi-objective optimization using evolutionary algorithms
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
- A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
- jMetal: A Java framework for multi-objective optimization (Advances in Engineering Software)
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (IEEE Transactions on Evolutionary Computation)
- Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Multiobjective optimization using dynamic neighborhood particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
Their papers
- Distributed evolutionary algorithms and their models: A survey of the state-of-the-art (2015) — 372 citations
- Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems (2013) — 310 citations
- Genetic Learning Particle Swarm Optimization (2016) — 487 citations