摘要
源于生物进化原理的遗传算法,可以利用优胜劣汰遗传机制演化得到系统最优参数。通过对感知循环、遗传算法进行讨论,针对感知无线电提出了基于遗传算法的感知无线电基因与感知无线电染色体。用不同的适应率要求对感知无线电遗传算法案例进行求解,并对案例生成的不同解进行了讨论。通过对案例的研究,分析了Rieser基于遗传算法的感知无线电引擎模型的局限,提出了今后研究的思路。
Based on biologic evolution principle, genetic algorithm can get the system best parameters by dominant character. The cognitive cycle and genetic algorithm are introduced. Based on genetic algorithm, the genes and chromosomes of cognitive are proposed. Under different fitness rules, the cases of biologically inspired cognitive radio are studied. The limitation of Rieser＇ s CR mode based on GA is analyzed. The proposal for improvement is studied.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第15期3980-3983,共4页
Computer Engineering and Design
基金
贵州省国际科技合作重点基金项目(黔科合外G字(2007)400109)
关键词
感知无线电
遗传算法
染色体
基因
决策机
cognitive radio
genetic algorithms
chromosome
gene
decision maker
