Noritaka Tsukamoto
Computational Theory and Mathematics · 2008
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 21 citations into it; #3,142 of 12,182 by trust here, #2,629 by citations
- Artificial Intelligence — 19 citations into it; #11,142 of 35,345 by trust here, #13,962 by citations
Whom Noritaka Tsukamoto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Noritaka Tsukamoto overall
- Ran Cheng
- Kalyanmoy Deb
- Yaochu Jin
- Himanshu Jain
- Oscar Cordón
- Christian von Lücken
- Bingdong Li
- Hisao Ishibuchi
Papers from Noritaka Tsukamoto's perspective
Ordered by how strongly the researchers Noritaka Tsukamoto trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-objective optimization using evolutionary algorithms
- Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
- On metrics for comparing nondominated sets (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
- Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- An EMO Algorithm Using the Hypervolume Measure as Selection Criterion (International Conference on Evolutionary Multi-Criterion Optimization)
- The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration (International Conference on Evolutionary Multi-Criterion Optimization)
- Guidance in evolutionary multi-objective optimization
- Evolutionary many-objective optimisation: many once or one many? (IEEE Congress on Evolutionary Computation)
Their papers
- Evolutionary many-objective optimization: A short review (2008) — 996 citations