期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：4
出版社：IJCSI Press
摘要：This paper attempts to bring forward various newly emerged natural computing techniques to a common platform. Six such techniques are compared among each other which have been used to solve a well known classical problem, the travelling salesman problem. The techniques discussed in this paper are Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA), Gravitational Search Algorithm (GSA), Intelligent Water Drops (IWD), and River Formation Dynamics (RFD). In the end, some important results have been tabularized.
关键词：Ant Colony Optimization (ACO); Bacterial Foraging Optimization Algorithm (BFOA); Gravitational Search Algorithm (GSA); Intelligent Water Drops (IWD); Particle Swarm Optimization (PSO); River Formation Dynamics (RFD); Travelling Salesman Problem (TSP)
