Competitive Self-Adaptation in Evolutionary Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F07%3AA0800KT4" target="_blank" >RIV/61988987:17310/07:A0800KT4 - isvavai.cz</a>
Alternative codes found
RIV/61988987:17610/07:A1000KT4
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Competitive Self-Adaptation in Evolutionary Algorithms
Original language description
Heuristic search for the global minimum is studied. This paper is focused on the adaptation of control parameters in differential evolution (DE) and in controlled random search (CRS). The competition of different control parameter settings is used in order to ensure the self-adaptation of parameter values within the search process. In the generalized CRS the self-adaptation is ensured by several competing local-search heuristics for the generation of a new trial point. DE was experimentally compared with other adaptive algorithms on a benchmark, self-adaptive CRS was compared in estimation of regression parameters on NIST nonlinear regression datasets. The competitive algorithms outperformed other algorithms both in the reliability and in the convergence rate.
Czech name
Kompetitivní adaptace v evolučních algoritmech
Czech description
Článek se zabývá adaptací řídicích parametrů v diferenciální evoluci a řízeném náhodném prohledávání. Adaptivní verze řízeného náhodného prohledávání byla úspěšně ověřena v aplikaci na odhady parametrů nelineárních regresních modelů.
Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 5th EUSFLAT Conference, Volume II
ISBN
978-80-7368-387-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
251-258
Publisher name
University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Sep 11, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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