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As a new kind of swarm intelligence algorithm, particle swarm optimization (PSO) algorithm can be calculated
conveniently to achieve fast convergence and good convergence performance advantages. However, it shows shortcoming
of falling into local extreme point. In this paper, a harmony search algorithm was used to improve PSO. Harmony Search
Algorithm, as a new optimization algorithm, presents a good global search performance. By examining four standard test
functions, the accuracy of convergence speed or convergence using improved PSO harmony search algorithm was validated.