Adaptive Doubly Trained Evolution Control for the 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%2F00023752%3A_____%2F17%3A43919251" target="_blank" >RIV/00023752:_____/17:43919251 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21340/17:00317541
Result on the web
<a href="http://ceur-ws.org/Vol-1885/120.pdf" target="_blank" >http://ceur-ws.org/Vol-1885/120.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy
Original language description
An area of increasingly frequent applications of evolutionary optimization to real-world problems is continuous black-box optimization. However, evaluating realworld black-box fitness functions is sometimes very timeconsuming or expensive, which interferes with the need of evolutionary algorithms for many fitness evaluations. Therefore, surrogate regression models replacing the original expensive fitness in some of the evaluated points have been in use since the early 2000s. The Doubly Trained Surrogate Covariance Matrix Adaptation Evolution strategy (DTS-CMA-ES) represents a surrogate-assisted version of the state-of-the-art algorithm for continuous blackbox optimization CMA-ES. The DTS-CMA-ES saves expensive function evaluations through using a surrogate model. However, the model inaccuracy on some functions can slow-down the algorithm convergence. This paper investigates an extension of DTS-CMA-ES which controls the usage of the model according to the model’s error. Results of testing an adaptive and the original version of DTS-CMA-ES on the set of noiseless benchmarks are reported
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1611" target="_blank" >LO1611: Sustainability for The National Institute of Mental Health</a><br>
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
17th Conference on Information Technologies - Applications and Theory, ITAT 2017; Hotel Martinske HoleMartinske Hole; Slovakia; 22 September 2017 through 26 September 2017
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
9
Pages from-to
120-128
Publisher name
CEUR Workshop Proceedings
Place of publication
Slovensko
Event location
Slovensko
Event date
Sep 22, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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