期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2016
卷号：6
期号：2
页码：29
DOI：10.5121/ijdkp.2016.6203
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The Particle Swarm Optimization (PSO) Algorithm is one of swarm intelligence optimization algorithms.Usually the population’s values of PSO algorithm are random which leads to random distribution ofsearch quality and search velocity. This paper presents PSO based on uniform design (UD). UD is widelyused in various applications and introduced to generate an initial population, in which the populationmembers are scattered uniformly over the search space. In evolution, UD is also introduced to replacesome worse individuals. Based on abovementioned these technologies a Particle Swarm OptimizationAlgorithm based on Uniform Design (PSO-UD) algorithm is proposed. At last, the performance of PSOUDalgorithm is tested and compared. Tests show that the PSO-UD algorithm faster than standard PSOalgorithm with random populations.
