A modified quantum-based particle swarm optimization for engineering inverse problem

Abstract

Purpose

The purpose of this paper is to explore the potential of standard quantum-based particle swarm optimization (QPSO) methods for solving electromagnetic inverse problems.

Design/methodology/approach

A modified QPSO algorithm is designed.

Findings

The modified QPSO algorithm is an efficient and robust global optimizer for optimizing electromagnetic inverse problems. More specially, the experimental results as reported on different case studies demonstrate that the proposed method can find better final optimal solution at an early stage of the iterating process (uses less iterations) as compared to other tested optimal algorithms.

Originality/value

The modifications include the design of a new position updating formula, the introduction of a new mutation strategy and a dynamic control parameter to intensify the convergence speed of the algorithm.

Citation

Rehman, O.U., Yang, S. and Khan, S.U. (2017), "A modified quantum-based particle swarm optimization for engineering inverse problem", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 36 No. 1, pp. 168-187. https://doi.org/10.1108/COMPEL-02-2016-0042