Enhancement of multiobjective search : A jumping-genes approach

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationIEEE International Symposium on Industrial Electronics
Pages1855-1858
Publication statusPublished - 2007

Conference

Title2007 IEEE International Symposium on Industrial Electronics (ISIE 2007)
LocationCentro Cultural and Centro Social Caixanova
PlaceSpain
CityVigo
Period4 - 7 June 2007

Abstract

Inspired by the gene transposition in biological genome, recently, a new evolutionary computing algorithm has been developed for optimization. It consists of two newly designed operations: copy-and-paste and cut-and-paste, which have been proven mathematically on the basis of Schema theory. In this paper, their uniqueness for balancing the exploration and exploitation searching effect is explained. In the meantime, the enhancement of searching efficiency for the multiobjective problems is demonstrated. Its ability is further reinforced by a real world application for a microstrip patch antennae design. The obtained results indicated that this new algorithm is indeed beneficial for gaining a much improved non-dominated solutions front as compared with those derived from the conventional method. ©2007 IEEE.

Citation Format(s)

Enhancement of multiobjective search : A jumping-genes approach. / Yin, J. J.; Yeung, S. H.; Tang, Wallace K. S. et al.

IEEE International Symposium on Industrial Electronics. 2007. p. 1855-1858 4374889.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review