Fuzzy Adaptive Charged System Search for global optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F21%3A10247574" target="_blank" >RIV/61989100:27510/21:10247574 - isvavai.cz</a>
Result on the web
<a href="https://reader.elsevier.com/reader/sd/pii/S1568494621004415?token=F994DA31A698D353073F2BED73A269EC182901F3C78331D11BAC24DF6E254B6F8F7C76FA9EC2C135A04E352D016C6016&originRegion=eu-west-1&originCreation=20210709080054" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S1568494621004415?token=F994DA31A698D353073F2BED73A269EC182901F3C78331D11BAC24DF6E254B6F8F7C76FA9EC2C135A04E352D016C6016&originRegion=eu-west-1&originCreation=20210709080054</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.asoc.2021.107518" target="_blank" >10.1016/j.asoc.2021.107518</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Adaptive Charged System Search for global optimization
Original language description
This study proposes a new fuzzy adaptive Charged System Search (CSS) for global optimization. The suggested algorithm includes a parameter tuning process based on fuzzy logic with the aim of improving its performance. In this regard, four linguistic variables are defined which configures a fuzzy system for parameter identification of the standard CSS algorithm. This process provides a focus for the algorithm on higher levels of global searching in the initial iterations while the local search is considered in the last iterations. Twenty mathematical benchmark functions, the Competitions on Evolutionary Computation (CEC) regarding CEC 2020 benchmark, three well-known constrained, and two engineering problems are utilized to validate the new algorithm. Moreover, the performance of the new algorithm is compared and contrasted with other metaheuristic algorithms. The obtained results reveal the superiority of the proposed approach in dealing with different unconstraint, constrained, and engineering design problems. (C) 2021 Elsevier B.V.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA19-13946S" target="_blank" >GA19-13946S: Performance evaluation in the presence of unclassified factors</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Soft Computing
ISSN
1568-4946
e-ISSN
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Volume of the periodical
109
Issue of the periodical within the volume
september
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
107518
UT code for WoS article
000685652800011
EID of the result in the Scopus database
2-s2.0-85107042524