Restarted Local Search Algorithms for Continuous Black Box Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00199146" target="_blank" >RIV/68407700:21230/12:00199146 - isvavai.cz</a>
Result on the web
<a href="http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00087" target="_blank" >http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00087</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Restarted Local Search Algorithms for Continuous Black Box Optimization
Original language description
Several local search algorithms for real valued domains (axis parallel line search, Nelder Mead simplex search, Rosenbrock's algorithm, quasi Newton method, NEWUOA, and VXQR) are described and thoroughly compared in this article, embedding them in a multi start method. Their comparison aims (1) to help the researchers from the evolutionary community to choose the right opponent for their algorithm (to choose an opponent that would constitute a hard to beat baseline algorithm), (2) to describe individualfeatures of these algorithms and show how they influence the algorithm on different problems, and (3) to provide inspiration for the hybridization of evolutionary algorithms with these local optimizers. The recently proposed Comparing Continuous Optimizers (COCO) methodology was adopted as the basis for the comparison. The results show that in low dimensional spaces, the old method of Nelder and Mead is still the most successful among those compared, while in spaces of higher dimensions
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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
33
Pages from-to
575-607
UT code for WoS article
000311334400005
EID of the result in the Scopus database
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