中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Information entropy and interaction optimization model based on swarm intelligence

文献类型:期刊论文

作者He, Xiaoxian; Zhu, Yunlong; Hu, Kunyuan; Niu, Ben
刊名Advances in natural computation, pt 2
出版日期2006
卷号4222页码:136-145
ISSN号0302-9743
通讯作者He, xiaoxian(hexiaoxian@sia.cn)
英文摘要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.
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
语种英语
WOS记录号WOS:000241892100018
出版者SPRINGER-VERLAG BERLIN
URI标识http://www.irgrid.ac.cn/handle/1471x/2379538
专题中国科学院大学
通讯作者He, Xiaoxian
作者单位1.Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
推荐引用方式
GB/T 7714
He, Xiaoxian,Zhu, Yunlong,Hu, Kunyuan,et al. Information entropy and interaction optimization model based on swarm intelligence[J]. Advances in natural computation, pt 2,2006,4222:136-145.
APA He, Xiaoxian,Zhu, Yunlong,Hu, Kunyuan,&Niu, Ben.(2006).Information entropy and interaction optimization model based on swarm intelligence.Advances in natural computation, pt 2,4222,136-145.
MLA He, Xiaoxian,et al."Information entropy and interaction optimization model based on swarm intelligence".Advances in natural computation, pt 2 4222(2006):136-145.

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来源:中国科学院大学

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