Two enhanced differential evolution variants for solving global optimization problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86092957" target="_blank" >RIV/61989100:27240/11:86092957 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/NaBIC.2011.6089459" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2011.6089459</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2011.6089459" target="_blank" >10.1109/NaBIC.2011.6089459</a>

Result language
angličtina
Original language name
Two enhanced differential evolution variants for solving global optimization problems
Original language description
Differential Evolution (DE) algorithms are very robust, effective and highly efficient in solving the global optimization problems. Thus, they are usually able to mitigate the drawback of long computation times commonly associated with Evolutionary algorithms. However, in certain cases the performance of DE is observed not to be completely flawless. In this paper we have proposed the two enhanced variants of DE using a modified mutation operator. The DE versions named as EDE-1 and EDE-2 are tested on six benchmark problems and a real time molecular potential energy problem. The simulation results prove the efficiency as well as the effectiveness of the proposed variants. 2011 IEEE.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2011 Third World Congress on Nature and Biologically Inspired Computing
ISBN
978-1-4577-1122-0
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
201-206
Publisher name
IEEE
Place of publication
New York
Event location
Salamanca
Event date
Oct 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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