Explaining SOMA: The relation of stochastic perturbation to population diversity and parameter space coverage
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63544458" target="_blank" >RIV/70883521:28140/21:63544458 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/pdf/10.1145/3449726.3463211" target="_blank" >https://dl.acm.org/doi/pdf/10.1145/3449726.3463211</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3449726.3463211" target="_blank" >10.1145/3449726.3463211</a>
Alternative languages
Result language
angličtina
Original language name
Explaining SOMA: The relation of stochastic perturbation to population diversity and parameter space coverage
Original language description
The Self-Organizing Migrating Algorithm (SOMA) is enjoying a renewed interest of the research community, following recent achievements in various application areas and renowned performance competitions. In this paper, we focus on the importance and effect of the perturbation operator in SOMA as the perturbation is one of the fundamental inner principles of SOMA. In this in-depth study, we present data, visualizations, and analysis of the effect of the perturbation on the population, its diversity and average movement patterns. We provide evidence that there is a direct relation between the perturbation intensity (set by control parameter prt) and the rate of diversity loss. The perturbation setting further affects the exploratory ability of the algorithm, as is demonstrated here by analysing the parameter space coverage of the population. We aim to provide insight and explanation of the impact of perturbation in SOMA for future researchers and practitioners. © 2021 ACM.
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
2021
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 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
ISBN
978-145038351-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
1944-1952
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Lille
Event date
Jul 10, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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