Global Journal of Pure and Applied Mathematics
  • Year: 2009
  • Volume: 5
  • Issue: 1

Performance of Population Based Metaheuristics on Some Non-Convex Noisy Deceptive Benchmark Test Function

  • Author:
  • Sanjeev Kumar Singh1, Munindra Borah2
  • Total Page Count: 6
  • Page Number: 9 to 14

1Department of Mathematics & Computer Sc., Union Christian College, Ri-Bhoi-793122, Meghalaya,.

2Department of Mathematical Sciences, Tezpur University, Assam, India,.

Abstract

Several variations of meta-heuristics have been developed recently and each of them claims to outperform others. Through this paper we are going to do the comparative study of three methods, each of them has its origin in Von Neumann's Monte Carlo experiments. We have tested these methods with certain benchmark test problems and some new test functions introduced by us first time.

Keywords

SA(Simulated Annealing,), GA(Genetic Algorithm), RPS(Repulsive Particle Swarm Optimization), Global Optimization