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To solve the local minima problem of Particle Swarm Optimization (PSO) algorithm, a novel cooperation algorithm called CPSODE is proposed. CPSODE is based on PSO algorithm and Differential Evolution (DE) algorithm, which introduces the cooperation mechanism into the evolution of search agents. For each particle, the evolved strategy is based on the cooperation and information sharing of particles. If the number of trapped particles reaches a certain threshold, the trapped particles will be replaced by new particles from the other evolution group. Experimental analysis validates the effectiveness of CPSODE model.