Review of Metaheuristics Inspired from the Animal Kingdom

The search for powerful optimizers has led to the development of a multitude of metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom as a source of inspiration and performs an extensive, yet not exhaustive, review of the animal inspired metaheuristics proposed in...

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Bibliographic Details
Published inMathematics (Basel) Vol. 9; no. 18; p. 2335
Main Authors Dragoi, Elena Niculina, Dafinescu, Vlad
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2021
Subjects
Algorithms
animal-inspired
Classification
exploitation
exploration
Genetic algorithms
Heuristic methods
Mathematics
metaheuristics
Optimization
Population
Vertebrates
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ISSN2227-7390
2227-7390
DOI10.3390/math9182335

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Summary:The search for powerful optimizers has led to the development of a multitude of metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom as a source of inspiration and performs an extensive, yet not exhaustive, review of the animal inspired metaheuristics proposed in the 2006–2021 period. The review is organized considering the biological classification of living things, with a breakdown of the simulated behavior mechanisms. The centralized data indicated that 61.6% of the animal-based algorithms are inspired from vertebrates and 38.4% from invertebrates. In addition, an analysis of the mechanisms used to ensure diversity was performed. The results obtained showed that the most frequently used mechanisms belong to the niching category.
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ISSN:2227-7390
2227-7390
DOI:10.3390/math9182335