Opposition based Chaotic Differential Evolution Algorithm for Solving Global Optimization Problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F12%3A86084782" target="_blank" >RIV/61989100:27740/12:86084782 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/NaBIC.2012.6402168" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2012.6402168</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2012.6402168" target="_blank" >10.1109/NaBIC.2012.6402168</a>
Alternative languages
Result language
angličtina
Original language name
Opposition based Chaotic Differential Evolution Algorithm for Solving Global Optimization Problems
Original language description
A modified differential evolution (DE) algorithm based on opposition based learning and chaotic sequence named Opposition based Chaotic Differential Evolution (OCDE) is proposed. The proposed OCDE algorithm is different from basic DE in two aspects. First is the generation of initial population, which follows Opposition Based Learning (OBL) rules; and the second is: dynamic adaption of scaling factor F using chaotic sequence. The numerical results obtained by OCDE when compared with the results obtainedby DE and ODE (opposition based DE) algorithms on eighteen benchmark function demonstrate that the OCDE is able to find a better solution while maintaining a reasonable convergence rate.
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)
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
Proceedings of the 2012 4th World Congress on Nature and Biologically Inspired Computing, NaBIC 2012
ISBN
978-1-4673-4768-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1-7
Publisher name
IEEE
Place of publication
New York
Event location
Mexico City
Event date
Nov 5, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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