A brief survey on metaheuritic based techniques for optimization problems

This paper aims to provide a brief review of few popular metaheuristic techniques for solving different optimization problems. In many non-trivial real life optimization problems finding an optimal solution is a very complex and computationally expensive task. Application of the classical optimization techniques is not suitable for such problems due to its inherent complex and large search space. In order to solve such optimization problems, metaheuristic based techniques have been applied and popularized in recent years. These techniques are increasingly getting the recognition as effective tools for solving various complex optimization problems in reasonable amount of computation time. In this brief survey of metaheuristic techniques we discuss few existing as well as ongoing developments in this area.