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The Computer Journal Advance Access originally published online on August 25, 2005
The Computer Journal 2005 48(6):749-768; doi:10.1093/comjnl/bxh135
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© The Author 2005. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

A Jumping Gene Algorithm for Multiobjective Resource Management in Wideband CDMA Systems

T. M. Chan1, K. F. Man1, K. S. Tang1 and S. Kwong2

1 Department of Electronic Engineering, City University of Hong Kong, Hong Kong
2 Department of Computer Science, City University of Hong Kong, 83, Tatchee Avenue, Kowloon, Hong Kong

Email: tmchan{at}ee.cityu.edu.hk, eekman{at}cityu.edu.hk, eekstang{at}cityu.edu.hk, cssamk{at}cityu.edu.

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 {varepsilon}-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.


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