Comparative Study between FA, ACO, and PSO Algorithms for Optimizing Quadratic Assignment Problem

Abstract

Abstract-Many advancements have been made in the development of optimization algorithms which are based on the evolutionary concept of behavior of biotic creatures like fish, ants, birds etc. This paper compares three such nature inspired algorithms; firefly, particle swarm optimization and ant colony optimization algorithm for optimizing Quadratic Assignment Problem. These algorithms are compared on the grounds of their time of computation of result, the no. of iterations required to solve the problem, and the accuracy .