@inproceedings{cf60554a441b4e17b3e074dae2cae404,
title = "Optimization Processes Using Bioinspired Algorithms {\textendash} 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.",
keywords = "Bioinspired Algorithms, Dynamic Systems, Management, Optimization",
author = "Oleksandr Yefymenko and Oksana Dmytriieva and Aleksandra Kuzior and Anastasiia Ptushka and Svitlana Kashkevich",
note = "Publisher Copyright: {\textcopyright} 2024, Association of American Publishers. All rights reserved.; 13th International Conference on Terotechnology, 2023 ; Conference date: 28-09-2023 Through 29-09-2023",
year = "2024",
doi = "10.21741/9781644903315-34",
language = "English",
isbn = "9781644903308",
series = "Materials Research Proceedings",
publisher = "Association of American Publishers",
pages = "296--303",
editor = "Norbert Radek and Agnieszka Szczotok",
booktitle = "Terotechnology XIII",
address = "United States",
}