14 citations · 31 across the 6 of their papers we have counts for
5 papers · 1 filter
Natural Evolution Strategy for Mixed-Integer Black-Box Optimization
Koki Ikeda, Isao Ono
This paper proposes a natural evolution strategy (NES) for mixed-integer black-box optimization (MI-BBO) that appears in real-world problems such as hyperparameter optimization of…
CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?
Masahiro Nomura, Youhei Akimoto, Isao Ono
The covariance matrix adaptation evolution strategy (CMA-ES) is one of the most successful methods for solving black-box continuous optimization problems. One practically useful as…
Fast Moving Natural Evolution Strategy for High-Dimensional Problems
Masahiro Nomura, Isao Ono
In this work, we propose a new variant of natural evolution strategies (NES) for high-dimensional black-box optimization problems. The proposed method, CR-FM-NES, extends a recentl…
Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure
Masahiro Nomura, Isao Ono
In this paper, we propose a new natural evolution strategy for unconstrained black-box function optimization (BBFO) problems and implicitly constrained BBFO problems. BBFO problems…
Theoretical foundation for CMA-ES from information geometric perspective
Youhei Akimoto, Yuichi Nagata, Isao Ono +1
This paper explores the theoretical basis of the covariance matrix adaptation evolution strategy (CMA-ES) from the information geometry viewpoint. To establish a theoretical founda…