Information entropy and interaction optimization model based on swarm intelligence
He XX(何小贤); Zhu YL(朱云龙); Hu KY(胡琨元); Niu B(牛奔)
2006
会议名称2nd International Conference on Natural Computation (ICNC 2006)
会议日期September 24-28, 2006
会议地点Xian, China
页码136-145
中文摘要By introducing the information entropy H(X) and mutual information I(X; Y) of information theory into swarm intelligence, the Interaction Optimization Model (IOM) is proposed. In this model, the information interaction process of individuals is analyzed with H(X) and I(X; Y) aiming at solving optimization problems. We call this optimization approach as interaction optimization. In order to validate this model, we proposed a new algorithm for Traveling Salesman Problem (TSP), namely Route-Exchange Algorithm (REA), which is inspired by the information interaction of individuals in swarm intelligence. Some benchmarks are tested in the experiments. The results indicate that the algorithm can quickly converge to the optimal solution with quite low cost.
收录类别SCI ; EI ; CPCI(ISTP)
产权排序1
会议主办者Xidian Univ, Natl Nat Sci Fdn China, Int Neural Network Soc, Asia Pacific Neural Network Assembly, IEEE Circuits & Syst Soc, IEEE Computat Intelligence Soc, IEEE Computat Intelligence Singapore Chapter, Chinese Assoc Artificial Intelligence
会议录ADVANCES IN NATURAL COMPUTATION, PT 2
会议录出版者SPRINGER-VERLAG
会议录出版地BERLIN
语种英语
ISSN号0302-9743
ISBN号3-540-45907-3
WOS记录号WOS:000241892100018
研究领域[WOS]Computer Science
WOS标题词Science & Technology ; Technology
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/8172]  
专题沈阳自动化研究所_工业信息学研究室_先进制造技术研究室
推荐引用方式
GB/T 7714
He XX,Zhu YL,Hu KY,et al. Information entropy and interaction optimization model based on swarm intelligence[C]. 见:2nd International Conference on Natural Computation (ICNC 2006). Xian, China. September 24-28, 2006.
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