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Title: | Boundary strategies for Self-Organizing Migrating Algorithm analyzed using CEC'17 Benchmark | ||||||||||
Author: | Kadavý, Tomáš; Pluháček, Michal; Šenkeřík, Roman; Viktorin, Adam | ||||||||||
Document type: | Conference paper (English) | ||||||||||
Source document: | Communications in Computer and Information Science. 2020, vol. 1092 CCIS, p. 58-69 | ||||||||||
ISSN: | 1865-0929 (Sherpa/RoMEO, JCR) | ||||||||||
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ISBN: | 978-3-03-037837-0 | ||||||||||
DOI: | https://doi.org/10.1007/978-3-030-37838-7_6 | ||||||||||
Abstract: | This paper is focused on the influence of boundary strategies for the popular swarm-intelligence based optimization algorithm: Self-organizing Migrating Algorithm (SOMA). A similar extensive study was already performed for the most famous representative of swarm-based algorithm, which is Particle Swarm Optimization (PSO), and showed the importance of related research for other swarm-based techniques, like SOMA. The current CEC'17 benchmark suite is used for the performance comparison of the case studies, and the results are compared and tested for statistical significance using the Friedman Rank test. © Springer Nature Switzerland AG 2020. | ||||||||||
Full text: | https://link.springer.com/chapter/10.1007/978-3-030-37838-7_6 | ||||||||||
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