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基于共生粒子群优化的RFID网络调度
Alternative TitleRFID Network Scheduling Based on Symbiotic Particle Swarm Optimization
高政威; 庞哈利; 汪定伟; 陈瀚宁
Department信息服务与智能控制技术研究室
Source Publication信息与控制
ISSN1002-0411
2012
Volume41Issue:5Pages:564-570, 577
Indexed ByCSCD
CSCD IDCSCD:4664928
Contribution Rank2
Funding Organization国家自然科学基金资助项目(70431003)
KeywordPso算法 共生 寄生 Rfid网络调度
Abstract为了提高PSO算法性能以及避免其在求解复杂工程时的早熟收敛问题,本文提出了一种新型改进PSO算法——Parasitism PSO.Parasitism PSO算法将生物共生机制中的寄生进化机制嵌入到PSO算法中,从而在寻优过程中有效地保持了算法的种群多样性.在4个测试函数的仿真实验中,Parasitism PSO与基本PSO算法相比,能够取得更好的搜索性能.然后,本文基于Parasitism PSO进行RFID读写器网络调度模型的求解,根据读写器冲突关系的变化在线进行读写器的时隙分配求解与控制.仿真实验表明,基于Parasitism PSO的RFID网络调度结果相比于基本PSO具有更高效率和实用性.
Other AbstractIn order to improve PSO(particle swarm optimization) performance and avoiding premature convergence when solving complex engineering problems,an improved PSO algorithm called Parasitism PSO is proposed.The Parasitism PSO introduces parasitism evolution mechanism of symbiotic mechanism into PSO algorithm to maintain species diversity of algorithm in optimization process.In simulation experiment with four test functions,Parasitism PSO is proved to have better search performance than the original PSO.Parasitis...
Language中文
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10325
Collection信息服务与智能控制技术研究室
Affiliation1.东北大学信息科学与工程学院
2.中国科学院沈阳自动化研究所信息服务与智能控制研究室
Recommended Citation
GB/T 7714
高政威,庞哈利,汪定伟,等. 基于共生粒子群优化的RFID网络调度[J]. 信息与控制,2012,41(5):564-570, 577.
APA 高政威,庞哈利,汪定伟,&陈瀚宁.(2012).基于共生粒子群优化的RFID网络调度.信息与控制,41(5),564-570, 577.
MLA 高政威,et al."基于共生粒子群优化的RFID网络调度".信息与控制 41.5(2012):564-570, 577.
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