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.
Authors
- Jifan Cui
Institutions
- China University of Geosciences (CN)
Publication Details
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1117/12.3044975
- Primary Topic
- Metaheuristic Optimization Algorithms Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00