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Optimization Processes Using Bioinspired Algorithms – A Literature Analysis
YEFYMENKO Oleksandr, DMYTRIIEVA Oksana, KUZIOR Aleksandra, PTUSHKA Anastasiia, KASHKEVICH Svitlana
Abstract. Today’s management decisions depend on the successful solution of optimization problems that are discontinuous, undifferentiated, and multimodal. One approach to improving the efficiency of solving optimization problems is bioinspired algorithms. The article briefly reviews work on bio-inspired algorithms and classical algorithms in relation to optimization processes. Based on the literature analysis, the weaknesses of classical and bioinspired algorithms are identified. Further research directions are also identified.
Keywords
Optimization, Bioinspired Algorithms, Management, Dynamic Systems
Published online 10/20/2024, 8 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: YEFYMENKO Oleksandr, DMYTRIIEVA Oksana, KUZIOR Aleksandra, PTUSHKA Anastasiia, KASHKEVICH Svitlana, Optimization Processes Using Bioinspired Algorithms – A Literature Analysis, Materials Research Proceedings, Vol. 45, pp 296-303, 2024
DOI: https://doi.org/10.21741/9781644903315-34
The article was published as article 34 of the book Terotechnology XIII
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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