A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem

Abstract

This paper encompasses a detailed review of state-of-the-art swarm-based algorithms, with a focus on their applications along with a discussion on the merits and limitations of each algorithm. Further, a recently developed advanced particle swarm optimization (APSO) algorithm is compared with the different state-of-the-art algorithms through solving an electromagnetic inverse problem. Results show that the APSO algorithm outperforms the other algorithms. This research provides a scientific guideline for the comparison of different swarm-based algorithms and their utilization regarding specific applications.