Competitive Differential Evolution Applied to CEC 2013 Problems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F13%3AA14017Q6" target="_blank" >RIV/61988987:17610/13:A14017Q6 - 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

Competitive Differential Evolution Applied to CEC 2013 Problems

Original language description

A variant of adaptive differential evolution (DE) with twelve competing strategies was applied to the set of benchmark problems proposed for the CEC 2013 competition. Competitive adaptation of DE strategies and parameter settings avoids tuning of most control-parameter values because only the size of population must be set by the user of the algorithm. The experimental results showed acceptable reliability of the search first of all in the problems with unrotated objective functions of smaller dimension. The possible cause of unreliability of the algorithm in the rotated functions is analyzed.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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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

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

IEEE Congress on Evolutionary Computation 2013

ISBN

9781479904549

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

1651-1657

Publisher name

IEEE Computational Intelligence Society

Place of publication

USA

Event location

Cancun, Mexico

Event date

Jun 20, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000326235301083