Yusuke Nojima
Artificial Intelligence · 2007–2018
A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #7,010 of 35,345 by trust here, #10,798 by citations
- Computational Theory and Mathematics — 74 citations into it; #1,804 of 12,182 by trust here, #1,813 by citations
- Management Science and Operations Research — 17 citations into it
- Industrial and Manufacturing Engineering — 7 citations into it
- Statistics and Probability — 7 citations into it
Whom Yusuke Nojima trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Hisao Ishibuchi
- Eckart Zitzler
- Yaochu Jin
- D. V. Veldhuizen
- Carlos Artemio Coello Coello
- Magne Setnes
- Takashi Yamamoto
- Lothar Thiele
- Qingfu Zhang
Who trusts Yusuke Nojima overall
- Ran Cheng
- Ye Tian
- Yaochu Jin
- Kalyanmoy Deb
- Oscar Cordón
- Giulia Vilone
- Himanshu Jain
- María José Gacto
- Yanan Sun
- Andreas Henelius
Papers from Yusuke Nojima's perspective
Ordered by how strongly the researchers Yusuke Nojima trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-objective optimization using evolutionary algorithms
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
- Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
- A review of multiobjective test problems and a scalable test problem toolkit (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))
- SPEA2: Improving the strength pareto evolutionary algorithm
- On metrics for comparing nondominated sets (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
Their papers
- Evolutionary many-objective optimization: A short review (2008) — 996 citations
- A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation (2018) — 307 citations
- Modified Distance Calculation in Generational Distance and Inverted Generational Distance (2015) — 615 citations
- Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes (2017) — 503 citations
- Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning (2007) — 401 citations