Zobrazeno 1 - 10
of 386
pro vyhledávání: '"Beyer, Hans Georg"'
Autor:
Omeradzic, Amir, Beyer, Hans-Georg
Three state-of-the-art adaptive population control strategies (PCS) are theoretically and empirically investigated for a multi-recombinative, cumulative step-size adaptation Evolution Strategy $(\mu/\mu_I, \lambda)$-CSA-ES. First, scaling properties
Externí odkaz:
http://arxiv.org/abs/2410.00595
Autor:
Omeradzic, Amir, Beyer, Hans-Georg
The mutation strength adaptation properties of a multi-recombinative $(\mu/\mu_I, \lambda)$-ES are studied for isotropic mutations. To this end, standard implementations of cumulative step-size adaptation (CSA) and mutative self-adaptation ($\sigma$S
Externí odkaz:
http://arxiv.org/abs/2408.09761
Autor:
Hellwig, Michael, Beyer, Hans-Georg
In the context of the 2018 IEEE Congress of Evolutionary Computation, the Matrix Adaptation Evolution Strategy for constrained optimization turned out to be notably successful in the competition on constrained single objective real-parameter optimiza
Externí odkaz:
http://arxiv.org/abs/2405.05005
Autor:
Omeradzic, Amir, Beyer, Hans-Georg
Publikováno v:
In Theoretical Computer Science 2 November 2023 978
Autor:
Liu, Bai, Yang, Dazhi, Mayer, Martin János, Coimbra, Carlos F.M., Kleissl, Jan, Kay, Merlinde, Wang, Wenting, Bright, Jamie M., Xia, Xiang’ao, Lv, Xin, Srinivasan, Dipti, Wu, Yan, Beyer, Hans Georg, Yagli, Gokhan Mert, Shen, Yanbo
Publikováno v:
In Renewable and Sustainable Energy Reviews August 2023 182
Autor:
Spettel, Patrick, Beyer, Hans-Georg
Theoretical analyses of evolution strategies are indispensable for gaining a deep understanding of their inner workings. For constrained problems, rather simple problems are of interest in the current research. This work presents a theoretical analys
Externí odkaz:
http://arxiv.org/abs/1901.07871
Autor:
Spettel, Patrick, Beyer, Hans-Georg
A theoretical performance analysis of the $(\mu/\mu_I,\lambda)$-$\sigma$-Self-Adaptation Evolution Strategy ($\sigma$SA-ES) is presented considering a conically constrained problem. Infeasible offspring are repaired using projection onto the boundary
Externí odkaz:
http://arxiv.org/abs/1812.06300
Autor:
Hellwig, Michael, Beyer, Hans-Georg
The development, assessment, and comparison of randomized search algorithms heavily rely on benchmarking. Regarding the domain of constrained optimization, the number of currently available benchmark environments bears no relation to the number of di
Externí odkaz:
http://arxiv.org/abs/1807.10068
This paper addresses the development of a covariance matrix self-adaptation evolution strategy (CMSA-ES) for solving optimization problems with linear constraints. The proposed algorithm is referred to as Linear Constraint CMSA-ES (lcCMSA-ES). It use
Externí odkaz:
http://arxiv.org/abs/1806.05845
Autor:
Hellwig, Michael, Beyer, Hans-Georg
Benchmarking plays an important role in the development of novel search algorithms as well as for the assessment and comparison of contemporary algorithmic ideas. This paper presents common principles that need to be taken into account when consideri
Externí odkaz:
http://arxiv.org/abs/1806.04563