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In order to cope with low accuracy and disability in convergence of PSO,a composite PSO algorithm is proposed,combined with Kent mapping,cloud model and cuckoo search. Furthermore, chaotic initialization, exploration and exploitation as well as multi-swarm strategies are adopted. In addition,convergence analysis and time complexity of CPSO are conducted. Finally,experiment results of standard benchmark function show that compared with traditional methods,our proposed algorithm is excellent in both convergence, accuracy and robustness.