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.
Authors
- Oleksandr Yefymenko (ORCID: https://orcid.org/0000-0003-0628-7893)
Institutions
- Kharkiv National Automobile and Highway University (UA)
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