A jumping gene evolutionary approach for multiobjective optimization

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Detail(s)

Original languageEnglish
Title of host publicationICT Innovations 2011
Pages1-14
Volume150 AISC
Publication statusPublished - 2012

Publication series

NameAdvances in Intelligent and Soft Computing
Volume150 AISC
ISSN (Print)1867-5662

Conference

TitleICT Innovations 2011 Conference
PlaceMacedonia, The Former Yugoslav Republic of
CitySkopje
Period14 - 16 September 2011

Abstract

The phenomenon of Jumping genes was initially discovered by Nobel Laureate, Barbara McClintock, in her work on maize chromosome in fifties. The Jumping genes transpose from one position to another in horizontal fashion within the same chromosome or even to other chromosomes. In this paper, it is to present how this genetic transposition, after transforming into a computational method, can enhance the evolutionary multiobjective optimization. The fundamental concept, design of operations, performance justification and applications of the Jumping Gene evolutionary approach will be outlined. © 2012 Springer-Verlag GmbH.

Citation Format(s)

A jumping gene evolutionary approach for multiobjective optimization. / Tang, Wallace K. S.; Yeung, Chris S. H.; Man, K. F.

ICT Innovations 2011. Vol. 150 AISC 2012. p. 1-14 (Advances in Intelligent and Soft Computing; Vol. 150 AISC).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review