Improved non-monopoly search based crayfish search algorithm

Crayfish optimization algorithm (COA) is a swarm-based metaheuristic algorithm proposed in July 2023. The fact that the optimal individuals are not processed makes the COA algorithm less capable of exploring in the early optimization phase and converging in the later phase. In this paper, an improved COA algorithm based on non-monopoly search called NOCOA was proposed. The optimal individuals are perturbed using a non-monopoly search strategy, and the strategy is further optimized using Gaussian and Cauchy operators, which enhances the algorithm optimization ability. Finally, the superior performance of NOCOA is verified by the CEC2017 test suite.

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Published
2024-09-30
DOI
https://doi.org/10.1117/12.3044975
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
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Improved non-monopoly search based crayfish search algorithm

Jifan Cui
Metaheuristic Optimization Algorithms Research
article

Improved non-monopoly search based crayfish search algorithm

Jifan Cui
article en

Abstract

Crayfish optimization algorithm (COA) is a swarm-based metaheuristic algorithm proposed in July 2023. The fact that the optimal individuals are not processed makes the COA algorithm less capable of exploring in the early optimization phase and converging in the later phase. In this paper, an improved COA algorithm based on non-monopoly search called NOCOA was proposed. The optimal individuals are perturbed using a non-monopoly search strategy, and the strategy is further optimized using Gaussian and Cauchy operators, which enhances the algorithm optimization ability. Finally, the superior performance of NOCOA is verified by the CEC2017 test suite.

China University of Geosciences (CN)
Openalex Percentile: Top 85%
Metaheuristic Optimization Algorithms Research
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Improved non-monopoly search based crayfish search algorithm — Jifan Cui · (2024) | TGRS Research Map | TGRS