Optimization Processes Using Bioinspired Algorithms – A Literature Analysis

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.

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Publication Details

Journal
Materials research proceedings
Published
2024-10-14
DOI
https://doi.org/10.21741/9781644903315-34
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization Processes Using Bioinspired Algorithms – A Literature Analysis

Oleksandr Yefymenko
Materials research proceedings
Metaheuristic Optimization Algorithms Research
article

Optimization Processes Using Bioinspired Algorithms – A Literature Analysis

Oleksandr Yefymenko
article en

Abstract

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.

Materials research proceedingsVol. 45
Kharkiv National Automobile and Highway University (UA)
Openalex Percentile: Top 84%
Metaheuristic Optimization Algorithms Research
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