A dynamic particle swarm optimization method applied to global optimizations of engineering inverse problem
ISSN: 0332-1649
Article publication date: 2 January 2018
Abstract
Purpose
The aim of this paper is to explore the potential of particle swarm optimization (PSO) algorithm to solve an electromagnetic inverse problem.
Design/methodology/approach
A modified PSO algorithm is designed.
Findings
The modified PSO algorithm is a more stable, robust and efficient global optimizer for solving the well-known benchmark optimization problems. The new mutation approach preserves the diversity of the population, whereas the proposed dynamic and adaptive parameters maintain a good balance between the exploration and exploitation searches. The numerically experimental results of two case studies demonstrate the merits of the proposed algorithm.
Originality/value
Some improvements, such as the design of a new global mutation mechanism and introducing a novel strategy for learning and control parameters, are proposed.
Keywords
Citation
Khan, S., Yang, S. and Rehman, O.U. (2018), "A dynamic particle swarm optimization method applied to global optimizations of engineering inverse problem", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 37 No. 1, pp. 98-117. https://doi.org/10.1108/COMPEL-08-2016-0352
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited