Exponential Crossover in Competive Differential Evolution

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F08%3AA1000PRX" target="_blank" >RIV/61988987:17310/08:A1000PRX - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Exponential Crossover in Competive Differential Evolution
Original language description
Two types of crossover in differential evolution algorithms are concerned, both in standard and adaptive variants of differential evolution. Proper choice of mutation probability in exponential crossover is proposed and implemented in respective variantsof differential evolution in tests. The impact of crossover type and the use of random localization in mutation were examined in benchmark tests. New variant of self-adaptive differential evolution with both type of crossover and competitive setting ofcontrol parameters outperformed the others. This variant is suggested for the real-world problems, where we need an adaptive algorithm applicable without time-wasting parameter tuning.
Czech name
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Czech description
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Project
<a href="/en/project/GA201%2F08%2F0472" target="_blank" >GA201/08/0472: Evolutionary algorithms and adaptation of their control parameters</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MENDEL 2008, 14th International Conference on Soft Computing
ISBN
978-80-214-3675-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 18, 2008
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000265681300009

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