A Comparison of Adaptive Differential Evolution Variants for Single-Objective Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F12%3AA13014KY" target="_blank" >RIV/61988987:17610/12:A13014KY - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Comparison of Adaptive Differential Evolution Variants for Single-Objective Optimization
Original language description
Seven adaptive variants of differential evolution algorithm were compared experimentally in six scalable benchmark problems at low, medium, and higher level of dimension. Four of tested algorithm variants are considered the state-of-the-art, three variants have appeared in literature recently. One of the state-of-the-art (JADE) and one other variant with adaptation based on the competition of strategies were the best performing algorithms in the test. The recommendations for application to the real-world optimization problems are derived from these experimental results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
18th International Conference on Soft Computing MENDEL 2012
ISBN
978-80-214-4540-6
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
132-137
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 27, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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