A New Approach of Backbone Topology Design Used by Combination of GA and PSO Algorithms

A number of algorithms based on the evolutionary processing have been proposed forcommunication networks backbone such as Genetic Algorithm (GA). However, there has beenlittle work on the SWARM optimization algorithms such as Particle Swarm Optimization(PSO) for backbone topology design. In this paper, the performance of PSO on GA isdiscussed and a new algorithm as PSOGA is proposed for the network topology design. Thesimulations for specific examples show that the performance of the new algorithm is betterthan other common methods.