The proposed algorithm is an improved version of Crayfish Algorithm. In this paper, a new hybrid model that integrates the Crayfish Optimization Algorithm (COA) and the Particle Swarm Optimization (PSO) for optimizing and increase performance. This hybrid algorithm being tested on 23 benchmarking functions, and the results indicate that the hybrid model is better than the individual Crayfish algorithm. Keywords: Crayfish Optimization Algorithm (COA), Particle Swarm Optimization (PSO), Hybridization, Benchmark Functions, Optimization.