A self-adaptive spherical search algorithm for real-world constrained optimization problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247258" target="_blank" >RIV/61989100:27240/20:10247258 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/20:10247258
Result on the web
<a href="https://dl.acm.org/doi/pdf/10.1145/3377929.3398186" target="_blank" >https://dl.acm.org/doi/pdf/10.1145/3377929.3398186</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3377929.3398186" target="_blank" >10.1145/3377929.3398186</a>
Alternative languages
Result language
angličtina
Original language name
A self-adaptive spherical search algorithm for real-world constrained optimization problems
Original language description
Determination of the global optimum of complex non-convex optimization problems of the real-world applications has remained a challenging task. Many researchers have been developing various types of effective direct search-based methods to tackle these problems. In this paper, we introduce a new variant of the recently developed Spherical Search (SS) algorithm, which contains a powerful and effective self-adaptation structure to enhance the performance. To analyze the performance, proposed algorithm is tested on the 57 test problems collected from different real-world applications. The obtained results statistically confirm the efficacy and efficiency of the proposed algorithm. (C) 2020 Owner/Author.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference
ISBN
978-1-4503-7128-5
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
13-14
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Cancún
Event date
Jul 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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