3 citations · 10 across the 13 of their papers we have counts for
Showing 2022 · math.OCShow all
2 papers · 2 filters
math.OC2022★ 1 cited
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi +2
In this paper, we propose a strategy to construct a multi-objective optimization algorithm from a single-objective optimization algorithm by using the Bézier simplex model. Also, w…
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…