Optimization of electromagnetic devices using a novel search based quantum particle swarm approach

Purpose This study aims to investigate the effectiveness of quantum particle swarm optimization (QPSO) algorithms in solving electromagnetic optimization problems. Design/methodology/approach An enhanced version of the quantum particle swarm approach is developed to solve electromagnetic optimization problems. Findings The enhanced QPSO methodology is a competent and strong global optimizer for optimizing electromagnetic devices. Furthermore, the experimental outcomes stated in different case studies validate the worth and effectiveness of the proposed approach, with a fast convergence behavior and high solution quality. Originality/value The proposed approach encompasses a novel strategy for determining the mean best position within a swarm. A mutation mechanism is used for a particle with the global best position. In addition, a novel parameter adaptation strategy is imposed to maintain the balance between exploration and exploitation searches.

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Publication Details

Journal
COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Published
2026-02-10
DOI
https://doi.org/10.1108/compel-05-2025-0244
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
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0.00
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article

Optimization of electromagnetic devices using a novel search based quantum particle swarm approach

Obaid Ur Rehman, Sadaqat Ur Rehman, Abid Saeed, Shafiullah Ullah Khan
COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Metaheuristic Optimization Algorithms Research
article

Optimization of electromagnetic devices using a novel search based quantum particle swarm approach

Obaid Ur Rehman, Sadaqat Ur Rehman, Abid Saeed, Shafiullah Ullah Khan
article en

Abstract

Purpose This study aims to investigate the effectiveness of quantum particle swarm optimization (QPSO) algorithms in solving electromagnetic optimization problems. Design/methodology/approach An enhanced version of the quantum particle swarm approach is developed to solve electromagnetic optimization problems. Findings The enhanced QPSO methodology is a competent and strong global optimizer for optimizing electromagnetic devices. Furthermore, the experimental outcomes stated in different case studies validate the worth and effectiveness of the proposed approach, with a fast convergence behavior and high solution quality. Originality/value The proposed approach encompasses a novel strategy for determining the mean best position within a swarm. A mutation mechanism is used for a particle with the global best position. In addition, a novel parameter adaptation strategy is imposed to maintain the balance between exploration and exploitation searches.

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic EngineeringVol. 45(2)
Sarhad University of Science and Information Technology (PK), Islamia College University (PK), University of Salford (GB)
Openalex Percentile: Top 63%
Metaheuristic Optimization Algorithms Research
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Optimization of electromagnetic devices using a novel search based quantum particle swarm approach — Obaid Ur Rehman, Sadaqat Ur Rehman, et al. · COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering (2026) | TGRS Research Map | TGRS