Yu Setoguchi
Computational Theory and Mathematics · 2017
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 24 citations into it; #6,872 of 12,182 by trust here, #8,294 by citations
- Artificial Intelligence — 23 citations into it; #20,641 of 35,345 by trust here, #28,481 by citations
- Management Science and Operations Research — 8 citations into it
Whom Yu Setoguchi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Eckart Zitzler
- Himanshu Jain
- Qingfu Zhang
- Johannes Bader
- Lyndon While
- Lothar Thiele
- Nicola Beume
- Md. Asafuddoula
- Marco Laumanns
Who trusts Yu Setoguchi overall
Papers from Yu Setoguchi's perspective
Ordered by how strongly the researchers Yu Setoguchi trusts endorse each paper. Same corpus, a different order for every researcher.
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- 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)
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints (IEEE Transactions on Evolutionary Computation)
- SPEA2: Improving the strength pareto evolutionary algorithm
- HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization (Evolutionary Computation)
- A Fast Way of Calculating Exact Hypervolumes (IEEE Transactions on Evolutionary Computation)
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach (IEEE Transactions on Evolutionary Computation)