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基于DNA遗传算法的CR多载波参数优化

Parameter optimization of multicarrier in CR based on DNA GA
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摘要 提出了一种基于DNA计算的非支配排序多目标遗传算法(DNA-GA)来对CR多载波传输参数进行优化。该算法通过非支配排序计算个体适应度,结合克隆操作使算法收敛于全局最优,并引入DNA基因级操作,以提高算法的搜索性能,保持种群的多样性。通过在不同服务需求情况下得到的仿真参数结果,证明了DNA-GA可以有效地优化CR传输参数。 This paper presents a DNA multi-objective genetic algorithm （DNA-GA） based on non-dominated sorting to optimize the CR multi-carrier parameters. Non-dominated sorting and clone operator are used to converge to the global Pareto-optimal front. In addition, the DNA genetic manipulation is introduced to improve the search capability and get good population diversity. The simulation results in different service requirements show that DNA-GA can effectively optimize CR transmission parameters.
作者 杨世恩 陈春梅
机构地区 西南科技大学网络信息中心 西南科技大学信息工程学院
出处 《微型机与应用》 2011年第5期68-71,共4页 Microcomputer & Its Applications
基金 国家863项目(2007AA01Z151)
关键词 认知无线电 DNA编码 多目标遗传算法 参数优化 CR DNA encoding multi-objective genetic algorithm parameters optimization
分类号 TN014 [电子电信—物理电子学]
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参考文献8

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二级参考文献9

  • 1周殊,潘炜,罗斌,张伟利,丁莹.一种基于粒子群优化方法的改进量子遗传算法及应用[J].电子学报,2006,34(5):897-901. 被引量：33
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共引文献33

微型机与应用
2011年 第5期

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