A Novel Multi-Objective Genetic Algorithm for Cognitive Radio System

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 207)


In this paper, we use genetic algorithm to realize adaptive algorithm chromium engine. On the basis of comparative analysis of chaotic, genetic algorithm and NSGA method and weighted-sum, we can dominate sort of pare to way to decide how to allocate the structure and parameters of the system and the level of CR resource allocation and avoid interference. In addition, 2d chromosomal structures is proposed and implemented to improve performance and the speed of the algorithm. Results the two algorithm comparison, makes a good looking for CR performance by evolution algorithm.


Genetic algorithm Cognitive radio NSGA Adaptive cognitive radio engine 


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Changchun Institute of TechnologyChangchunChina

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