A comparative study of Repulsive Particle Swarm Optimization and Simulated Annealing on some Numerical Bench Mark Problems

The objective of this paper is to test the performance of Repulsive Particle Swarm and Simulated Annealing on some test functions. Since Repulsive Particle Swarm Optimizations mimics the nature and SA (Simulated Annealing) follows the physical criteria, it will be interesting to see the performance of these two methods on the certain benchmark test functions. A brief idea of these functions are given in this section are as follows. These functions are also represented by graph to facilitate conceptualization of the nature of these functions by visual means.