Advanced Intelligent Computing Theories and Applications: by Yongquan Zhou, Yanlian Du, Zhengxin Huang (auth.), De-Shuang

By Yongquan Zhou, Yanlian Du, Zhengxin Huang (auth.), De-Shuang Huang, Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang (eds.)

The overseas convention on clever Computing (ICIC) was once shaped to supply an annual discussion board devoted to the rising and not easy subject matters in man made intel- gence, computing device studying, development attractiveness, photograph processing, bioinformatics, and computational biology. It goals to collect researchers and practitioners from either academia and to percentage rules, difficulties, and suggestions with regards to the m- tifaceted points of clever computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the sixth - ternational convention on clever Computing. It outfitted upon the good fortune of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005, that have been held in Ulsan, Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively. This yr, the convention centred normally at the theories and methodologies in addition to the rising purposes of clever computing. Its objective was once to unify the image of up to date clever computing recommendations as an critical idea that highlights the traits in complicated computational intelligence and bridges theoretical study with purposes. for that reason, the subject for this convention used to be “Advanced clever Computing know-how and Applications.” Papers targeting this subject have been solicited, addressing theories, methodologies, and functions in technology and technology.

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Extra resources for Advanced Intelligent Computing Theories and Applications: 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings

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The High Voltage Power Supply System of ECRH for HU-7. In: Power Modulator Symposium 2002 and 2002 High-Voltage Workshop Conference Record of the Twenty-Fifth International, pp. 595–598 (2002) 5. : CMAC Neural Network Based Learning Control of the CSTR System. Control and Decision 7, 131–136 (1992) 6. : Hot Strip Coiling Temperature Control Based on CMAC Network. Journal of Northeastern University 20, 662–664 (2000) 7. : A New Self-Learning Controller Based in CMAC Neural Network. Acta Automatica Sinica 26, 542–546 (2000) 8.

And there is no algorithm which is suitable to every situation. And the more complex the situations are, the more inefficient the algorithm is. The paper converts the problem of the collision detection to the nonlinear programming problem with restricted condition. And use the modified quantum genetic algorithm to solve this problem. The results show that this method is efficient, especially in large-scale scenes. Keywords: Collision detection, Quantum genetic algorithm, Non-linear programming.

Communication in Computer and Information Science 2, 97–106 (2007) 6. : A Self-configuration Mechanism for High-Availability Clusters. , Dongarra, J. ) ICCS 2006. LNCS, vol. 3994, pp. 260–263. Springer, Heidelberg (2006) 7. : Discovering Correctness Constraints for Self-Management of System Configuration. In: Proc. of International Conference on Autonomic Computing (ICAC). IEEE Computer Society, Los Alamitos (2004) 8. : On Identifying Stable Ways to Configure Systems. In: Proc. of the International Conference on Autonomic Computing (ICAC).

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