A jumping gene algorithm for multiobjective resource management in wideband CDMA systems

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)749-768
Journal / PublicationComputer Journal
Volume48
Issue number6
Publication statusPublished - Nov 2005

Abstract

In this paper, a newly developed jumping genes evolutionary paradigm is proposed for optimizing the multiobjective resource management problem in direct sequence-wideband code division multiple access systems. This formulation enables both total transmission power and total transmission rate to be simultaneously optimized. Since these two objectives are conflicting in nature, a set of tradeoff non-dominated solutions could be obtained without violating the quality of service. This new algorithm has been statistically tested and compared with a number of various multiobjective evolutionary algorithms including the use of binary ε-indicator for classifying the capability in generating the quality of non-dominated solution sets. In addition, the capacity of finding a number of extreme solutions is an extra indication to show its ability to measure the diversity along the Pareto-optimal solution front in a unique fashion. © The Author 2005. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.