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Advanced Intelligent Computing Theories and Applications. by Xuesong Yan, Qinghua Wu, Zhihua Cai (auth.), De-Shuang

By Xuesong Yan, Qinghua Wu, Zhihua Cai (auth.), De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (eds.)

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 encompasses a diversity of thoughts reminiscent of man made intelligence, perceptual and development attractiveness, evolutionary and adaptive computing, informatics theories and purposes, computational neuroscience and bioscience, gentle computing, case established and restricted reasoning, brokers, networking and computing device supported co-operative operating, human laptop interface concerns.

ICIC topic unifies the image of latest clever computing suggestions as an indispensable idea that highlights the tendencies in complicated computational intelligence and bridges theoretical learn with applications.

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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

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Convergence curves for different production plans (20 machines) Table 5. 102 21354 31453 31453 31453 are also listed in Table 4. The convergence curves are shown in Fig. 3 for 20 machines. From calculation and comparison, we can conclude that the GASA performs better than the GA in terms of solution’s quality, but it takes much longer computational time than the GA. Finally, we consider the impact of buffer size on the MMAL’s performance. Table 5 shows the computational results by the GASA for the above small-sized problems with different buffer sizes, respectively.

For example, one of the rules is, a new surface will be built if the final bid amount is less than $508,391 and the total traffic cost is less than $9,125 (This rule is 93% accurate in this database and there are at least 13 cases to support this rule). Therefore, the use of Data Mining can effectively help pavement surface engineers make the right decisions for their projects. The information technology is indispensable to the collection and analysis of pavement surface data. Data, both collected automatically or by people, can be used to determine M&R (maintenance & rehabilitation).

Operat. Res. cn Abstract. Vehicle routing problem becomes more remarkable with the development of modern logistics. Ant colony and genetic algorithm are combined for solving vehicle routing problem. GA can overcome the drawback of premature and weak exploitation capabilities of ant colony and converge to the global optimal quickly. The performance of the proposed method as compared to those of the genetic-based approaches is very promising. Keywords: ant colony, vehicle routing problem, genetic algorithm.

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