On Modification of Population-Based Approach Used in Adaptive Differential Evolution Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA1801RZO" target="_blank" >RIV/61988987:17310/17:A1801RZO - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.12700/APH.14.5.2017.5.11" target="_blank" >http://dx.doi.org/10.12700/APH.14.5.2017.5.11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12700/APH.14.5.2017.5.11" target="_blank" >10.12700/APH.14.5.2017.5.11</a>

Result language
angličtina
Original language name
On Modification of Population-Based Approach Used in Adaptive Differential Evolution Algorithm
Original language description
A new approach for the mutation operation in the differential evolution (DE) algorithm isintroduced. The aim of this technique is to enhance the mutation strategy to avoid the local minimum area. The proposed method is implemented to five state-of-the-art DE variants and the standard DE variant DE/rand/1/bin. Twelve DE variants are compared on CEC 2015 problems at four dimension levels. The results show that the proposed method is able to increase the performance of the original DE variants in the significant part of the test problems.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics

Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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