Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 231, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2023.120482
Keywords
Meerkat optimization algorithm; Swarm intelligence; Optimization algorithms; Meta-heuristics; Nature-inspired algorithms; Constrained engineering problems
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In this paper, a meerkat optimization algorithm (MOA) is proposed by simulating the behavior pattern of meerkats in nature. MOA is mainly inspired by the survival strategies of meerkat populations, and its sentinel mechanism controls meerkats to switch between different behavior patterns. Mathematical properties of meerkat optimization algorithm are proven, and the advantages of MOA are verified with classical optimization test functions. MOA is also applied to solve real-world engineering problems with constraints, demonstrating its effectiveness and superiority.
In this paper, we proposed a meerkat optimization algorithm(MOA) by simulating the behavior pattern of meerkats in nature. MOA is mainly inspired by the survival strategies of meerkat populations, whose sentinel mechanism controls meerkats to switch between different behavior patterns. Some mathematical properties of meerkat optimization algorithm are proved, and the advantages of MOA are verified with classical optimization test functions. MOA is applied to solve real-world engineering problems with constraints, which proves the effectiveness and superiority of MOA in solving such problems.
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