期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：2
页码：568-571
语种：English
出版社：Ayushmaan Technologies
摘要：The most and major popular technique in evolutionary computation research has been the genetic algorithm. Mostly in the Genetic Algorithm(GA), the representation used is a fixed-length bit string. Each position in the string represents a particular feature of an individual and the particular value stored in that corresponding position. Particle Swarm Optimization(PSO) is used to find the optimal fitness value.Simulations are performed over the various standard test data and comparisions are performed with Genetic Algorithm(GA). The experimental results show that proposed PSO based method performs better than the GA method.
