Experimental Comparison of Six Population Based Algorithms for Continuous Black Box Optimization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00199147" target="_blank" >RIV/68407700:21230/12:00199147 - isvavai.cz</a>

Result on the web

<a href="http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00083" target="_blank" >http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00083</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Experimental Comparison of Six Population Based Algorithms for Continuous Black Box Optimization

Original language description

Six population based methods for real valued black box optimization are thoroughly compared in this article. One of them, Nelder Mead simplex search, is rather old, but still a popular technique of direct search. The remaining five (POEMS, G3PCX, CauchyEDA, BIPOP CMA ES, and CMA ES) are more recent and came from the evolutionary computation community. The recently proposed comparing continuous optimizers (COCO) methodology was adopted as the basis for the comparison. The results show that BIPOP CMA ESreaches the highest success rates and is often also quite fast. The results of the remaining algorithms are mixed, but Cauchy EDA and POEMS are usually slow.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/GP102%2F08%2FP094" target="_blank" >GP102/08/P094: Machine learning methods for solution construction in evolutionary algorithms</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2012

Confidentiality

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

Name of the periodical

Evolutionary Computation

ISSN

1063-6560

e-ISSN

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Volume of the periodical

20

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

26

Pages from-to

483-508

UT code for WoS article

000311334400002

EID of the result in the Scopus database

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