Download Advanced Intelligent Computing Theories and Applications by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, PDF

By De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo

This ebook - at the side of the 2 volumes LNCS 5226 and LNAI 5227 - constitutes the refereed complaints of the Fourth overseas convention on clever Computing, ICIC 2008, held in Shanghai, China in September 2008. The clever computing know-how features a variety of thoughts corresponding to synthetic intelligence, perceptual and trend attractiveness, evolutionary and adaptive computing, informatics theories and functions, computational neuroscience and bioscience, smooth computing, case dependent and limited reasoning, brokers, networking and desktop supported co-operative operating, human desktop interface matters. ICIC topic unifies the image of up to date clever computing innovations as an imperative idea that highlights the traits in complicated computational intelligence and bridges theoretical learn with purposes.

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Extra resources for Advanced Intelligent Computing Theories and Applications With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on ... in Computer and Information Science)

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Popular techniques include Characterization and Discrimination, Association Analysis, Classification and Prediction, Cluster Analysis, Outlier Analysis and Evolution Analysis. Han and Kamber [4] pointed out that Association Rules was the most mature and widely used technique in Data Mining. Association Rules was first proposed by Agrawal et. [5], and was mainly used to find the association among database items. Brin et al. [6] pointed out that Association Rules was initially used to study Market Basket Data.

E. there are 45 possible links. Each link has a reliability of 90%. The testing network design problem is extracted from a test-set provided in [15]. It can be noted that the evolutionary algorithm not only gets good solutions, but also a more predictable running time when compared to sequential GA. Ⅳ Table 1. 3 5 Conclusion Wireless communication networks design problem subject to reliability constrain that is especially complex because not only the design itself is NP-hard, but also the exact reliability calculation.

2 Statement of the Problem A network is modeled[12] by a probabilistic undirected graph G=(N, L, p), in which N represents the set of nodes, L a given set of possible links, and p the reliability of each link. It is assumed one bi-directional link between each pair of nodes; that is, there is no redundancy between nodes. The optimization problem may be stated as: MinimizeZ = N −1 N ∑ ∑c ij x ij (1) i =1 j =i +1 Subjectto : R( x) ≥ R0 where xij is a decision variable {0, 1}, cij is the cost of a link (i, j), R(x) is the network reliability, and R0 is the minimum reliability requirement.

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