Of Meta-heuristic Optimization Approaches: in Virtue of Grey Wolf Optimization

Abstract

Optimization is essential in every sector such as engineering design, economics, mathematics, physics, even in day to day activities such as holiday planning, internet usage/routing optimization is required. As resources such as money, resources and time are crucial and limited those needs to be used optimally always. This paper explains concept of optimization and classification of various optimization approaches, later it extends to meta-heuristic optimization algorithms, gives brief explanation about different swarm- based optimization algorithms. Optimization algorithms can be classified by many ways based on focus of algorithm utilization and characteristics. Metaheuristic approach mimics natural phenomena where nature is used as source of inspiration. This paper gives brief about all classifications of metaheuristic algorithms such as Evolutionary algorithms, swarm intelligence, differential evolution and hunting search algorithm which is the main focus of this paper. This paper explains Grey Wolf Optimization (GWO) in comparison of all other metaheuristic algorithms.