Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hamano, Ryoki"'
Discrete and mixed-variable optimization problems have appeared in several real-world applications. Most of the research on mixed-variable optimization considers a mixture of integer and continuous variables, and several integer handlings have been d
Externí odkaz:
http://arxiv.org/abs/2408.13046
The majority of theoretical analyses of evolutionary algorithms in the discrete domain focus on binary optimization algorithms, even though black-box optimization on the categorical domain has a lot of practical applications. In this paper, we consid
Externí odkaz:
http://arxiv.org/abs/2407.07388
The covariance matrix adaptation evolution strategy (CMA-ES) is a stochastic search algorithm using a multivariate normal distribution for continuous black-box optimization. In addition to strong empirical results, part of the CMA-ES can be described
Externí odkaz:
http://arxiv.org/abs/2406.16506
In several real-world applications in medical and control engineering, there are unsafe solutions whose evaluations involve inherent risk. This optimization setting is known as safe optimization and formulated as a specialized type of constrained opt
Externí odkaz:
http://arxiv.org/abs/2405.10534
Black-box optimization problems often require simultaneously optimizing different types of variables, such as continuous, integer, and categorical variables. Unlike integer variables, categorical variables do not necessarily have a meaningful order,
Externí odkaz:
http://arxiv.org/abs/2405.09962
Autor:
Watanabe, Yohei, Uchida, Kento, Hamano, Ryoki, Saito, Shota, Nomura, Masahiro, Shirakawa, Shinichi
The covariance matrix adaptation evolution strategy (CMA-ES) is an efficient continuous black-box optimization method. The CMA-ES possesses many attractive features, including invariance properties and a well-tuned default hyperparameter setting. Mor
Externí odkaz:
http://arxiv.org/abs/2305.00849
This study targets the mixed-integer black-box optimization (MI-BBO) problem where continuous and integer variables should be optimized simultaneously. The CMA-ES, our focus in this study, is a population-based stochastic search method that samples s
Externí odkaz:
http://arxiv.org/abs/2212.09260
This study targets the mixed-integer black-box optimization (MI-BBO) problem where continuous and integer variables should be optimized simultaneously. The CMA-ES, our focus in this study, is a population-based stochastic search method that samples s
Externí odkaz:
http://arxiv.org/abs/2205.13482
This study targets the mixed-integer black-box optimization (MI-BBO) problem where continuous and integer variables should be optimized simultaneously. The CMA-ES, our focus in this study, is a population-based stochastic search method that samples s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddc34d1a37683ba18568d98fab3e4882
http://arxiv.org/abs/2212.09260
http://arxiv.org/abs/2212.09260