NATURE-INSPIRED ALGORITHMS IN REAL-WORLD OPTIMIZATION PROBLEMS

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA1801MZU" target="_blank" >RIV/61988987:17310/17:A1801MZU - 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

NATURE-INSPIRED ALGORITHMS IN REAL-WORLD OPTIMIZATION PROBLEMS

Original language description

Eight popular nature inspired algorithms are compared with the blind random search and three ad-vanced adaptive variants of differential evolution (DE) on real-world problems benchmark collected for CEC 2011 algorithms competition. The results show the good performance of the adaptive DE variants and their superiority over the other algorithms in the test problems. Some of the nature-inspired algorithms perform even worse that the blind random search in some problems. This is a strong argument for recommendation for application, wherewell-verified algorithm successful in competitions should be preferred instead of developing some new algorithms.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10102 - Applied mathematics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Name of the periodical

MENDEL Soft Computing Journal

ISSN

1803-3814

e-ISSN

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Volume of the periodical

23

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

7-14

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85042289810