Overview of Surrogate-model Versions of Covariance Matrix Adaptation Evolution Strategy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00477762" target="_blank" >RIV/67985807:_____/17:00477762 - isvavai.cz</a>
Alternative codes found
RIV/00023752:_____/17:43918928
Result on the web
<a href="http://dx.doi.org/10.1145/3067695.3082539" target="_blank" >http://dx.doi.org/10.1145/3067695.3082539</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3067695.3082539" target="_blank" >10.1145/3067695.3082539</a>
Alternative languages
Result language
angličtina
Original language name
Overview of Surrogate-model Versions of Covariance Matrix Adaptation Evolution Strategy
Original language description
Evaluation of real-world black-box objective functions is in many optimization problems very time-consuming or expensive. Therefore, surrogate regression models, used instead of the expensive objective function and in that way decreasing the number of its evaluations, have received a lot of attention. Here, we briefly survey surrogate-assisted versions of the state-of-the-art algorithm for continuous black-box optimization - the CMA-ES (Covariance Matrix Adaptation Evolution Strategy). We compare five of them, together with the original CMA-ES, on the noiseless benchmarks of the Comparing-Continuous-Optimisers platform in the expensive scenario, where only a small budget of evaluations is available.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion
ISBN
978-1-4503-4939-0
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1622-1629
Publisher name
ACM
Place of publication
New York
Event location
Berlin
Event date
Jul 15, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—