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Meerkat optimization algorithm: A new meta-heuristic optimization algorithm for solving constrained engineering problems
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DOI：10.1016/j.eswa.2023.120482.png)
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Abstract
En 中文
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.
Keywords:
Meerkat optimization algorithm
Swarm intelligence
Optimization algorithms
Meta-heuristics
Nature-inspired algorithms
Constrained engineering problems
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7.5
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2.9W
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10.2W
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