A new hybrid algorithm with fast convergence speed and capability of searching optimal solution within defined space was proposed by uniting the advantages of particle swarm optimization and artificial fish swam algorithm.In the new algorithm,the velocity and position of the particle swarm were modified in optimization according to the bulletin boards,cluster of artificial fish and accompanying strategy model.Then the original particle swarm was turned to intelligent particles and the search precision and efficiency were improved.The simulations prove that the new hybrid algorithm possesses the characteristic of higher accuracy search and faster convergence by using three classic functions in optimization,like Generalize-Schwefel function etc.