Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63563678" target="_blank" >RIV/70883521:28140/23:63563678 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3583133.3596418" target="_blank" >https://dl.acm.org/doi/10.1145/3583133.3596418</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3583133.3596418" target="_blank" >10.1145/3583133.3596418</a>
Alternative languages
Result language
angličtina
Original language name
Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms
Original language description
Recently, Boundary Control Methods (BCMs) have become increasingly relevant in the field of metaheuristic algorithms. In this study, we investigate the relationship between the activation frequency of different BCMs and the problem's dimensionality. Additionally, we analyze each problem dimension independently. Our research primarily concentrates on the top three algorithms from the IEEE CEC 2020 competition: AGSK, IMODE, and j2020, utilizing the competition benchmark set to conduct experiments. Our findings provide valuable insights into the metaheuristic domain, underlining the significance of comprehending BCM activation patterns to improve algorithm design and benchmarking practices.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
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 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion
ISBN
979-840070120-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
2330-2336
Publisher name
Association for Computing Machinery, Inc
Place of publication
New York
Event location
Lisbon
Event date
Jul 15, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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