Application-oriented fast optimizer for multi-peak searching

Multi-peak optimizations in engineering applications are needed to search multiple extrema of objective functions.Previous multi-peak searching methods usually cannot make use of prior parameters to guide the algorithm directly.This paper proposed an application-oriented multi-peak optimizer based on the particle swarm optimization(PSO).It took advantage of prior parameters such as peak resolution,solution accuracy,and peak number demanded,which could usually be ascertained in real-world problems.The algorithm kept the simplicity of basic PSO and expanded its searching diversity.This paper compared the new algorithm with some typical multimodal optimization algorithms on the basis of which the tests and analyses of them were conducted.Results show that the new algorithm can successfully locate the multiple extrema that outhors need at highest speed.