Multi-chaotic System Induced Success-History Based Adaptive Differential Evolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875348" target="_blank" >RIV/70883521:28140/16:43875348 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-39378-0_44" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-39378-0_44</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-39378-0_44" target="_blank" >10.1007/978-3-319-39378-0_44</a>
Alternative languages
Result language
angličtina
Original language name
Multi-chaotic System Induced Success-History Based Adaptive Differential Evolution
Original language description
This research paper combines two soft computing fields - chaos theory and evolutionary computing. The proposed multi-chaotic system implements five different chaotic maps as a Pseudo-Random Number Generators (PRNGs) for parent selection process in Differential Evolution (DE) and Success-History based Adaptive Differential Evolution (SHADE) algorithms. The probabilities for selecting chaotic maps are adapted and the adaptation process is based on the previous successful solutions. Therefore, PRNG varies for different test functions. The performance of multi-chaotic system induced DE and SHADE is compared against their canonical versions on CEC2015 benchmark set. Acquired results show that replacing classic PRNG with multi-chaotic PRNG can lead sto improvement in terms of convergence speed and ability to reach the global optimum.
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
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>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2016
ISBN
978-3-319-39377-3
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
517-527
Publisher name
Springer International Publishing Switzerland
Place of publication
Cham
Event location
Zakopane
Event date
Jun 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389514800044