A quantum-based particle swarm optimization algorithm applied to inverse problems

Siu Lau Ho; Shiyou Yang; Guangzheng Ni; Jin Huang

doi:10.1109/TMAG.2013.2237760

A quantum-based particle swarm optimization algorithm applied to inverse problems

Siu Lau Ho, Shiyou Yang, Guangzheng Ni, Jin Huang

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

30 Citations (Scopus)

Abstract

To balance exploration and exploitation searches in order to prevent premature convergences in Particle Swarm Optimization (PSO) algorithms, an improved Quantum-based PSO (QPSO) algorithm is proposed with an ultimate goal of preserving the simplicities of available QPSOs. The improvements include the design of diversification and intensification phases, searching mechanisms and a strategy to shift away from the worst solutions. The proposed QPSO are compared to available optimizers on two case studies to showcase its merits.

Original language	English
Article number	6514656
Pages (from-to)	2069-2072
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	49
Issue number	5
DOIs	https://doi.org/10.1109/TMAG.2013.2237760
Publication status	Published - 22 May 2013

Keywords

Evolutionary algorithm
inverse problem
optimal design
particle swarm optimization

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

More information

10.1109/TMAG.2013.2237760

Cite this

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AB - To balance exploration and exploitation searches in order to prevent premature convergences in Particle Swarm Optimization (PSO) algorithms, an improved Quantum-based PSO (QPSO) algorithm is proposed with an ultimate goal of preserving the simplicities of available QPSOs. The improvements include the design of diversification and intensification phases, searching mechanisms and a strategy to shift away from the worst solutions. The proposed QPSO are compared to available optimizers on two case studies to showcase its merits.

KW - Evolutionary algorithm

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KW - optimal design

KW - particle swarm optimization

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A quantum-based particle swarm optimization algorithm applied to inverse problems

Abstract

Keywords

ASJC Scopus subject areas

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