Hybrid particle swarm optimization with wavelet mutation and its industrial applications

S. H. Ling; H. H.C. Iu; K. Y. Chan; H. K. Lam; Benny C.W. Yeung; Hung Fat Frank Leung

doi:10.1109/TSMCB.2008.921005

Hybrid particle swarm optimization with wavelet mutation and its industrial applications

S. H. Ling, H. H.C. Iu, K. Y. Chan, H. K. Lam, Benny C.W. Yeung, Hung Fat Frank Leung

The Hong Kong Polytechnic University

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

253 Citations (Scopus)

Abstract

A new hybrid particle swarm optimization (PSO) that incorporates a wavelet-theory-based mutation operation is proposed. It applies the wavelet theory to enhance the PSO in exploring the solution space more effectively for a better solution. A suite of benchmark test functions and three industrial applications (solving the load flow problems, modeling the development of fluid dispensing for electronic packaging, and designing a neural-network-based controller) are employed to evaluate the performance and the applicability of the proposed method. Experimental results empirically show that the proposed method significantly outperforms the existing methods in terms of convergence speed, solution quality, and solution stability.

Original language	English
Pages (from-to)	743-763
Number of pages	21
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	38
Issue number	3
DOIs	https://doi.org/10.1109/TSMCB.2008.921005
Publication status	Published - 1 Jun 2008

Keywords

Load flow problem
Modeling
Mutation operation
Neural network control
Particle swarm optimization
Wavelet theory

ASJC Scopus subject areas

Control and Systems Engineering
Software
General Medicine
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/TSMCB.2008.921005

http://hdl.handle.net/10397/1448

Cite this

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AU - Leung, Hung Fat Frank

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Hybrid particle swarm optimization with wavelet mutation and its industrial applications

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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