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Bio-Inspired Metaheuristics: A Comprehensive Survey

Bio-Inspired Metaheuristics: A Comprehensive Survey

Rachid Kaleche, Zakaria Bendaoud, Karim Bouamrane
Copyright: © 2020 |Volume: 10 |Issue: 4 |Pages: 18
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781799806523|DOI: 10.4018/IJOCI.2020100101
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MLA

Kaleche, Rachid, et al. "Bio-Inspired Metaheuristics: A Comprehensive Survey." IJOCI vol.10, no.4 2020: pp.1-18. http://doi.org/10.4018/IJOCI.2020100101

APA

Kaleche, R., Bendaoud, Z., & Bouamrane, K. (2020). Bio-Inspired Metaheuristics: A Comprehensive Survey. International Journal of Organizational and Collective Intelligence (IJOCI), 10(4), 1-18. http://doi.org/10.4018/IJOCI.2020100101

Chicago

Kaleche, Rachid, Zakaria Bendaoud, and Karim Bouamrane. "Bio-Inspired Metaheuristics: A Comprehensive Survey," International Journal of Organizational and Collective Intelligence (IJOCI) 10, no.4: 1-18. http://doi.org/10.4018/IJOCI.2020100101

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Abstract

In real life, problems becoming more complicated, among them NP-Hard problems. To resolve them, two families of methods exist, exact and approximate methods. When exact methods provide the optimal solution in an unacceptable amount of time, the approximate ones provide good solutions in a reasonable amount of time. Approximate methods are two kinds, heuristics and metaheuristics. The first ones are problem specific, while metaheuristics are independent from problems. A broad number of metaheuristics are inspired from nature, specially from biology. These bio-inspired metaheuristics are easy to implement and provide interesting results. This paper aims to provide a comprehensive survey of bio-inspired metaheuristics, their classification, principals, algorithms, their application domains, and a comparison between them.

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