Cooperation of Optimization Algorithms: A Simple Hierarchical Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601DML" target="_blank" >RIV/61988987:17610/15:A1601DML - 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
Cooperation of Optimization Algorithms: A Simple Hierarchical Model
Original language description
A simple model for the cooperation of optimization evolutionary algorithms was proposed and tested on CEC 2015 benchmark suite. The four adaptive algorithms were chosen for this model, namely covariance matrix adaptation evolutionary strategy (CMA-ES) and three variants of adaptive differential evolution. Three algorithms with constant population size work in pseudo-parallel way and after stopping the whole populations migrate to the top algorithm with dynamic population reduction for final processing.The simple cooperative algorithm outperformed CMA-ES in 24 out of 60 test problems, which is promising for the development of more sophisticated cooperative algorithms for the global optimization.
Czech name
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Czech description
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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

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2015 IEEE Congress on Evolutionary Computation (CEC)
ISBN
978-1-4799-7492-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1046-1052
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
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Event location
Sendai, Japonsko
Event date
May 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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