Tianjun Liao
Computational Theory and Mathematics · with Ishibuchi · 2018
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 35 citations into it
- Artificial Intelligence — 28 citations into it
Whom Tianjun Liao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tianjun Liao's perspective
Ordered by how strongly the researchers Tianjun Liao trusts endorse each paper. Same corpus, a different order for every researcher.
- A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
- Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
- Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Nonlinear multiobjective optimization
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (IEEE Transactions on Evolutionary Computation)
- HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization (Evolutionary Computation)
- On the Evolutionary Optimization of Many Conflicting Objectives (IEEE Transactions on Evolutionary Computation)
Their papers
- Localized Weighted Sum Method for Many-Objective Optimization (2018) — 310 citations