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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publication12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
DOIs
Publication statusPublished - 21 Nov 2006
Event12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 - Miami, FL, United States
Duration: 30 Apr 20063 May 2006

Conference

Conference12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
Country/TerritoryUnited States
CityMiami, FL
Period30/04/063/05/06

ASJC Scopus subject areas

  • Engineering(all)

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