A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization

Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada. A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. In Jonathan E. Fieldsend, Markus Wagner 0007, editors, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022. pages 601-610, ACM, 2022. [doi]

Abstract

Abstract is missing.