By Xuesong Yan, Qinghua Wu, Zhihua Cai (auth.), De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (eds.)
This publication - along side the 2 volumes LNCS 5226 and LNAI 5227 - constitutes the refereed complaints of the Fourth foreign convention on clever Computing, ICIC 2008, held in Shanghai, China in September 2008.
The clever computing know-how features a diversity of strategies equivalent to synthetic intelligence, perceptual and trend attractiveness, evolutionary and adaptive computing, informatics theories and purposes, computational neuroscience and bioscience, delicate computing, case established and limited reasoning, brokers, networking and computing device supported co-operative operating, human laptop interface matters.
ICIC subject matter unifies the image of up to date clever computing options as an imperative idea that highlights the developments in complicated computational intelligence and bridges theoretical study with applications.
Read or Download Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings PDF
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Additional resources for Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings
After defining the chromosome, selection, crossover and mutation is applied to jump out the local solution. In the crossover, the initial position and crossover length are generated randomly, the crossover method can be described as followed. Given s1: P1|P2|P3, s2: Q1|Q2|Q3 P2 and Q2 are crossover section. Q2 is inserted into s1 before P2, and s3: P1| Q2|P2|P3 is got. Then the duplicate numbers are deleted from s3 and obtain one children individual. Another is got by the same method. 6 Experimental Results The proposed algorithm has been programmed in VC++ language, and run in Windows XP.
To each arc (Ni,Nj) is associated a value dij representing the distance between Ni and Nj. Each tour starts from and terminates at the depot N0, each node Ni must be visited exactly once, and the quantity of goods to be delivered on a route should never exceed the vehicle capacity Q. And other notations for describing the model are summarized below: k: the vehicle identification. K: the amount number of all vehicles. Qk: the max capacity of the kth vehicle. Dk: the max distance of the kth vehicle.
Of the 1996 ACM SIGMOD Int’l Conf. on Management of Data, pp. 207–216. ACM Press, New York (1993) 6.