| 拟态物理学多目标算法求解认知参数优化问题 |
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| 引用本文： | 柴争义,王秉,李亚伦,朱思峰,王颖锋.拟态物理学多目标算法求解认知参数优化问题[J].电子学报,2015,43(8):1526-1530. |
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| 作者姓名： | 柴争义 王秉 李亚伦 朱思峰 王颖锋 |
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| 作者单位： | 1. 天津工业大学计算机科学与软件学院 天津 300384;
2. 河南交通职业技术学院航运海事系 河南郑州 450005;
3. 泛网无线通信教育部重点实验室(北京邮电大学), 北京 100876;
4. 周口师范学院数学与统计学院, 河南周口 466001;
5. 河南财经政法大学计算机与信息工程学院, 河南郑州 450000 |
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| 摘 要： | 针对认知无线网络中的引擎参数调整问题,提出了一种基于拟态物理学多目标优化的求解算法.根据认知参数编码的二进制特点,设计了基于海明距离的个体排序方法,并改进了微粒的更新方程,最后求出问题的Pareto最优解集.多载波环境下的仿真实验表明,算法可以根据无线信道环境的动态变化和认知用户需求的不同需求,自适应调整各个子载波的调制方式和发射功率,满足参数优化需求.
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| 关 键 词： | 拟态物理学 多目标优化 认知无线电网络 参数配置 |
| 收稿时间： | 2014-05-26 |
Parameters Optimization of Cognitive Network Based on ArtificiaI Physics MuIti-Objective AIgorithm |
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| CHAI Zheng-yi,WANG Bing,LI Ya-lun,ZHU Si-feng,WANG Ying-feng.Parameters Optimization of Cognitive Network Based on ArtificiaI Physics MuIti-Objective AIgorithm[J].Acta Electronica Sinica,2015,43(8):1526-1530. |
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| Authors: | CHAI Zheng-yi WANG Bing LI Ya-lun ZHU Si-feng WANG Ying-feng |
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| Abstract: | To solve the engine parameter adjustment problem of cognitive radio networks, an artificial physics multi-objective optimization algorithm was proposed.According to its binary encoded features of cognitive parameters, Hamming distance based individual ranking method was designed and particle updated equation was improved, and finally the Pareto optimal set were achieved.Simulation results show that under the multi-carrier environment, the proposed algorithm can adjust transmission power and modulation mode according to the changing of channel and cognitive user demands.So it meets the demands for parameters optimization. |
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| Keywords: | artificial physics multi-objective optimization cognitive engine parameters adjustments |
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