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

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

This ebook - together with the 2 volumes LNCS 5226 and LNAI 5227 - constitutes the refereed court cases of the Fourth overseas convention on clever Computing, ICIC 2008, held in Shanghai, China in September 2008. The clever computing know-how contains a variety of options akin to man made intelligence, perceptual and development popularity, 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 laptop interface concerns. ICIC subject matter unifies the image of latest clever computing suggestions as an quintessential idea that highlights the traits in complicated computational intelligence and bridges theoretical study with functions.

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In addition, it can execute much application analysis of Data Mining, such as prediction, data pre-processing, regression, classification, clustering and association. Moreover, this software also uses Decision Tree and Artificial Neural Network as the method of exploring data. This analysis methods of Data Mining this software adopts include association, neural clustering and tree classification. Analysis results are provided regarding the pavement surface A Research on the Association of Pavement Surface Damages Using Data Mining > 33 < characteristics of two groups, PSR(Pavement Serviceability Rating) 24 and PSR 24.

Wu, and Z. Cai Random initialization of the population P While (not satisfied termination condition) do begin for each individual S i ∈ P do begin S ' ← Si Select (randomly) a Node C from S ' repeat {begin if (rand () ≤ p) select the node C ' from the remaining nodes in S ' else {Select (randomly) an individual in P assign to C ' the next node to the node C in the select individual } if (the next node or the previous node of node C in S ' is C ' ) exit repeat loop invert the gene node from the next node of C to the node C ' in S ' C ← C' } end if (eval ( S ' ) ≤ eval ( S i )) Si ← S ' end end Fig.

ICIC 2008, CCIS 15, pp. 23–30, 2008. © Springer-Verlag Berlin Heidelberg 2008 24 W. -Y. Zhou burden all tasks. When all customers are satisfied, one ant goes from a depot to the customers and return to the depot several times. Then genetic algorithm, which is used to improve ant colony model, can overcome the drawback of premature and weak exploitation capabilities of ant colony and converge to the global optimal quickly. The proposed algorithm can obtain the optimal solution in a reasonably shorter period of time.

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