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The existing methods of Web Service Composition (WSC) seldom consider the initiative and dynamic adaptability of Web Service (WS), which cannot make WS perceive the change of users' requirements in the changeable network environment. The result leads to the failure of Automatic Web Service Composition (AWSC). Meanwhile, the quantity of WS is so large in the existing network environment that the result of the AWSC does not meet users' requirements. Therefore, to improve the success rate of AWSC and solve the optimization of WS, on the basis of establishing the model of AWSC guided by the users' demand, this paper puts forward an optimal model of WSC based on particle swarm optimization (PSO) algorithm with Quality of Service (QoS) constraints, then illustrates the feasibility of the model by simulation results.