An efficient multiobjective optimizer based on genetic algorithm and approximation technique for electromagnetic designs

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

doi:10.1109/CEFC-06.2006.1633023

An efficient multiobjective optimizer based on genetic algorithm and approximation technique for electromagnetic designs

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

Abstract

In order to use the information gathered from all non-dominated solutions of an optimizer and to guide the search toward more and better Pareto solutions, this paper proposes an efficient and robust vector optimal algorithm that integrates approximation techniques into an improved genetic algorithm. Numerical results are reported to validate the proposed work.

Original language	English
Title of host publication	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
DOIs	https://doi.org/10.1109/CEFC-06.2006.1633023
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-06.2006.1633023

http://hdl.handle.net/10397/1099

Cite this

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title = "An efficient multiobjective optimizer based on genetic algorithm and approximation technique for electromagnetic designs",

abstract = "In order to use the information gathered from all non-dominated solutions of an optimizer and to guide the search toward more and better Pareto solutions, this paper proposes an efficient and robust vector optimal algorithm that integrates approximation techniques into an improved genetic algorithm. Numerical results are reported to validate the proposed work.",

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-06.2006.1633023",

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 efficient multiobjective optimizer based on genetic algorithm and approximation technique for electromagnetic designs. in 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006., 1633023, 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006, Miami, FL, United States, 30/04/06. https://doi.org/10.1109/CEFC-06.2006.1633023

An efficient multiobjective optimizer based on genetic algorithm and approximation technique for electromagnetic designs. / Ho, Siu Lau; Yang, S. Y.; Ni, G. Z. et al.
12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006. 2006. 1633023.

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

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AU - Yang, S. Y.

AU - Ni, G. Z.

AU - Wong, K. F.

PY - 2006/11/21

Y1 - 2006/11/21

N2 - In order to use the information gathered from all non-dominated solutions of an optimizer and to guide the search toward more and better Pareto solutions, this paper proposes an efficient and robust vector optimal algorithm that integrates approximation techniques into an improved genetic algorithm. Numerical results are reported to validate the proposed work.

AB - In order to use the information gathered from all non-dominated solutions of an optimizer and to guide the search toward more and better Pareto solutions, this paper proposes an efficient and robust vector optimal algorithm that integrates approximation techniques into an improved genetic algorithm. Numerical results are reported to validate the proposed work.

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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 efficient multiobjective optimizer based on genetic algorithm and approximation technique for electromagnetic designs

Abstract

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ASJC Scopus subject areas

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