61 citations
- The University of TokyoJP4 papers
- Fujitsu (China)CN3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Fujitsu (United Kingdom)GB2 papers
- National Institute of Advanced Industrial Science and TechnologyJP2 papers
- University of ManchesterGB2 papers
- University of TsukubaJP2 papers
- Aalborg UniversityDK1 paper
- Baidu (China)CN1 paper
- Bank of JapanJP1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
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math.OC2022★ 3 cited
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi +3
This paper proposes a two-phase framework with a Bézier simplex-based interpolation method (TPB) for computationally expensive multi-objective optimization. The first phase in TPB…
math.OC2018
Bezier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-objective Optimization
Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai +3
Multi-objective optimization problems require simultaneously optimizing two or more objective functions. Many studies have reported that the solution set of an M-objective optimiza…
math.OC2017★ 2 cited
Simple Problems: The Simplicial Gluing Structure of Pareto Sets and Pareto Fronts
Naoki Hamada
Quite a few studies on real-world applications of multi-objective optimization reported that their Pareto sets and Pareto fronts form a topological simplex. Such a class of problem…