An Improved Multi-Strategy Crayfish Optimization Algorithm for Solving Numerical Optimization Problems
Ruitong Wang,
Shuishan Zhang,
Guangyu Zou
Abstract:The crayfish optimization algorithm (COA), proposed in 2023, is a metaheuristic optimization algorithm that is based on crayfish’s summer escape behavior, competitive behavior, and foraging behavior. COA has a good optimization performance, but it still suffers from the problems of slow convergence speed and sensitivity to the local optimum. To solve these problems, an improved multi-strategy crayfish optimization algorithm for solving numerical optimization problems, called IMCOA, is proposed to address the s… Show more
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