An improved particle swarm optimization method with application to multimodal functions of inverse problems

Siu Lau Ho; S. Y. Yang; G. Z. Ni; K. F. Wong

doi:10.1109/CEFC-06.2006.1632917

An improved particle swarm optimization method with application to multimodal functions of inverse problems

Siu Lau Ho, S. Y. Yang, G. Z. Ni, K. F. Wong

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

Improvements that use new formulae and strategies in particle swarm optimization (PSO) methods are proposed for updating the particles' velocity and position, craziness, and the use of simple refinement searching scheme and so on to enhance their performances. Numerical results are given to validate the feasibility and demonstrate the merits of the proposed method.

Original language	English
Title of host publication	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
DOIs	https://doi.org/10.1109/CEFC-06.2006.1632917
Publication status	Published - 21 Nov 2006
Event	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 - Miami, FL, United States Duration: 30 Apr 2006 → 3 May 2006

Conference

Conference	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
Country/Territory	United States
City	Miami, FL
Period	30/04/06 → 3/05/06

ASJC Scopus subject areas

General Engineering

More information

10.1109/CEFC-06.2006.1632917

http://hdl.handle.net/10397/1094

Cite this

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title = "An improved particle swarm optimization method with application to multimodal functions of inverse problems",

abstract = "Improvements that use new formulae and strategies in particle swarm optimization (PSO) methods are proposed for updating the particles' velocity and position, craziness, and the use of simple refinement searching scheme and so on to enhance their performances. Numerical results are given to validate the feasibility and demonstrate the merits of the proposed method.",

author = "Ho, {Siu Lau} and Yang, {S. Y.} and Ni, {G. Z.} and Wong, {K. F.}",

year = "2006",

month = nov,

day = "21",

doi = "10.1109/CEFC-06.2006.1632917",

language = "English",

isbn = "1424403200",

booktitle = "12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006",

note = "12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 ; Conference date: 30-04-2006 Through 03-05-2006",

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Ho, SL, Yang, SY, Ni, GZ & Wong, KF 2006, An improved particle swarm optimization method with application to multimodal functions of inverse problems. in 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006., 1632917, 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006, Miami, FL, United States, 30/04/06. https://doi.org/10.1109/CEFC-06.2006.1632917

An improved particle swarm optimization method with application to multimodal functions of inverse problems. / Ho, Siu Lau; Yang, S. Y.; Ni, G. Z. et al.
12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006. 2006. 1632917.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - An improved particle swarm optimization method with application to multimodal functions of inverse problems

AU - Ho, Siu Lau

AU - Yang, S. Y.

AU - Ni, G. Z.

AU - Wong, K. F.

PY - 2006/11/21

Y1 - 2006/11/21

N2 - Improvements that use new formulae and strategies in particle swarm optimization (PSO) methods are proposed for updating the particles' velocity and position, craziness, and the use of simple refinement searching scheme and so on to enhance their performances. Numerical results are given to validate the feasibility and demonstrate the merits of the proposed method.

AB - Improvements that use new formulae and strategies in particle swarm optimization (PSO) methods are proposed for updating the particles' velocity and position, craziness, and the use of simple refinement searching scheme and so on to enhance their performances. Numerical results are given to validate the feasibility and demonstrate the merits of the proposed method.

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DO - 10.1109/CEFC-06.2006.1632917

M3 - Conference article published in proceeding or book

SN - 1424403200

SN - 9781424403202

BT - 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

T2 - 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

Y2 - 30 April 2006 through 3 May 2006

ER -

An improved particle swarm optimization method with application to multimodal functions of inverse problems

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ASJC Scopus subject areas

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