[1]毕晓君,李安宁.基于差分进化算法的认知无线电决策引擎[J].智能系统学报,2012,7(6):542-546.
BI Xiaojun,LI Anning.Cognitive radio decision engine based on the different evolution algorithm[J].CAAI Transactions on Intelligent Systems,2012,7(6):542-546.
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BI Xiaojun,LI Anning.Cognitive radio decision engine based on the different evolution algorithm[J].CAAI Transactions on Intelligent Systems,2012,7(6):542-546.
基于差分进化算法的认知无线电决策引擎
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
7
期数:
2012年第6期
页码:
542-546
栏目:
学术论文—智能系统
出版日期:
2012-12-25
- Title:
- Cognitive radio decision engine based on the different evolution algorithm
- 文章编号:
- 1673-4785(2012)06-0542-05
- Keywords:
- cognitive radio; decision engine; differential evolution algorithm; multicarrier communication; coevolutionary particle swarm
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 针对认知系统的工作参数调整问题，提出基于差分进化算法的认知无线电决策引擎算法.利用差分算法设置参数少、寻优能力强、不易于陷入局部最优等特点，实现认知系统根据工作环境变化和用户需求自适应调整工作参数.仿真结果表明，在多载波通信系统中，与协进化粒子群算法相比，提出的算法能增强系统的整体性能，提高系统的工作效率.
- Abstract:
- According to the problem of working parameter′s adjustment in cognitive radio system, this paper puts forward a cognitive radio decision engine based on the differential evolution algorithm. Using less parameters, good ability of finding the best, avoiding getting into local optimality, we can make the cognitive radio system adjust working parameters according to the change in working environment and the user requirement. The simulation results show that the algorithm in this paper performs better in the whole function and work efficiency of the system than coevolutionary particle swarm optimization algorithm.
- 参考文献/References:
-
［1］NEWMAN T R, RAJBANSHI R, WYGLINSKI A M, et al. Population adaptation for genetic algorithm cognitive radios［C］//Proceedings of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Orland, USA, 2007: 279284.
［2］郭彩丽, 冯春燕，曾志民.认知无线电网络技术及应用［M］.北京： 电子工业出版社, 2010: 1415.
［3］ZHANG X Q, HUANG Y Q, JIANG H, et al. Design of cognitive radio node engine based on genetic algorithm［C］//2009 WASE International Conference on Information Engineering. Taiyuan, China, 2009: 2225.
［4］POVALAC K, MARSALEK R. Adjusting of the multicarrier communication system using binary particle swarm optimization［C］//Proceedings of 19th International Conference Radioelektronika 2009. Bratisalava, Slovakia, 2009: 251254.
［5］赵知劲, 张伟卫, 彭振, 等. 基于协进化粒子群优化的认知决策引擎［J］.计算机工程, 2011, 37 (3): 163165.
ZHAO Zhijin, ZHANG Weiwei, PENG Zhen, et al. Cognitive decision engine based coevolutionry particle swarm optimization［J］. Computer Engineering, 2011, 37 (3): 163165.
［6］赵知劲, 徐世宇, 郑仕链, 等. 基于二进制粒子群算法的认知无线电决策引擎［J］.物理学报, 2009, 58(7): 51185125.
ZHAO Zhijin, XU Shiyu, ZHENG Shilian, et al. Cognitive radio decision engine based on binary particle swarm optimization［J］. Acta Physica Sincia, 2009, 58(7): 51185125.
［7］焦传海,王可人.一种基于免疫遗传算法的认知决策引擎［J］.系统工程与电子技术, 2010, 32(5): 10831087.
JIAO Chuanhai, WANG Keren. Cognitive radio decision based on immune genetic algorithm［J］. Systems Engineering and Electronics, 2010, 32(5): 10831087.
［8］WU D, WANG F, YANG S Y. Cognitive radio decision engine based on priori knowledge［C］//Proceedings of 3rd International Symposium on Parallel architectures, Algorithms and Programming. Dalian, China, 2009: 346349.
［9］毕晓君,王义新.多模态函数优化的拥挤差分进化算法［J］.哈尔滨工程大学学报, 2011, 32(2): 223227.
BI Xiaojun, WANG Yixin. Multimodal function optimization using a crowding differential evolution［J］. Journal of Harbin Engineering University, 2011, 32(2): 223227.
［10］DENG C S, ZHAO B Y, YANG Y L, et al. Novel binary differential evolution algorithm for discrete optimization［C］//5th International Conference on Natural Computation. Tianjin, China, 2009: 346349.
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备注/Memo
收稿日期： 2012-07-23.
网络出版日期：2012-11-16.
基金项目：国家自然科学基金资助项目(61175126)；中央高校基本科研业务费专项资金资助项目（HEUCFZ1209）；教育部博士点基金资助项目(20112304110009).
通信作者：毕晓君.
E-mail：bixiaojun@hrbeu.edu.cn.
作者简介：
毕晓君，女，1964年生，教授，博士生导师，博士，主要研究方向为信息智能处理技术、智能优化算法、数字图像处理等, 作为项目负责人或主要研究者，先后承担国防基础预研项目、“十一五”预研项目以及省部级科研项目11项,国家自然科学基金1项、教育部博士点基金1项，获省部级科学技术进步二等奖3项、三等奖4项.发表学术论文多篇.
李安宁，男，1987年生，硕士研究生，主要研究方向为智能优化算法和认知无线电.
更新日期/Last Update:
2013-03-19