New PDF release: Advanced Intelligent Computing Theories and Applications

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

ISBN-10: 3540859292

ISBN-13: 9783540859291

ISBN-10: 3540859306

ISBN-13: 9783540859307

This booklet - together with the 2 volumes LNCS 5226 and LNAI 5227 - constitutes the refereed lawsuits of the Fourth foreign convention on clever Computing, ICIC 2008, held in Shanghai, China in September 2008. The clever computing know-how contains a variety of options reminiscent of 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 laptop supported co-operative operating, human machine interface concerns. ICIC topic unifies the image of up to date clever computing ideas as an crucial idea that highlights the tendencies in complex computational intelligence and bridges theoretical study with functions.

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Additional info 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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42, 63–70 (1993) 5. : Topological Optimization of Communication Networks Subject to Reliability Constraint. Probl. Contr. Inform. Theor. 15, 63–78 (1986) 6. : Reliability Optimization of Comunication Network Using Simulated Annealing. Microelectron. Reliab. 33, 1303–1319 (1993) 7. : Topological Desing of Computer Communication Network Using Simulated Annealing. Eng. Appl. Artif. Intel. 8, 61–69 (1995) 8. : Least-cost Network Topology Design for a New Service: An Application of a Tabu Search. Ann.

Sequencing Mixed Model Assembly Lines with Genetic Algorithms. Comput. Indus. Engin. 30(4), 1027–1036 (1996) 6. : Using Beam Search Techniques for Sequencing Mixed-Model Assembly Lines. Ann. Oper. Res. 70, 379–397 (1997) 7. : Sequencing Mixed-Model Assembly Lines to Level Parts Usage and Minimizing Line Length. Int. J. Prod. Res. 32(10), 2431–2454 (1994) 8. : A Genetic Algorithm for Multiple Objective Sequencing Problems in Mixed Model Assembly Lines. Comput. Oper. Res. 25(7/8), 675–690 (1998) 9.

Dk: the max distance of the kth vehicle. nk: the number of customers dispatched by the kth vehicle. Rk: the set of customers dispatched by the kth vehicle. When nk=0, Rk=Φ. When nk≠0, { Rk = rk 1 , rki , } , rknk ⊆ {1, 2, dispatched sequence of the kth vehicle. S: the total cost of one solution. , M } , where rki is the ith customer in the 26 W. -Y. Zhou Fig. 1. An example of VRP The model is: F = min(S), where K ⎛ nk ⎞ S = ∑ ⎜ ∑ d rki−1rki + d rknk 0 ⎟ ⋅ sgn ( nk ) with k =1 ⎝ i =1 ⎠ constraint ⎧1, n ≥ 1 sgn ( nk ) = ⎨ k ⎩0, nk = 0 nk ∑q i =1 nk ∑d i =1 rki −1rki rki (4) ≤ Qk nk≠0 (5) + d rknk 0 ≤ Dk nk≠0 Rk1 ∩ Rk 2 = Φ k1≠k2 K ∪ Rk = {1, 2, k =1 (6) (7) K M } 0 ≤ nk ≤ M , ∑ nk = M (8) k =1 4 Ant Colony for VRP In ant colony model, an individual ant simulates a vehicle, and its route is constructed by incrementally selecting customers until all customers have been visited.

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Advanced Intelligent Computing Theories and Applications With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on ... in Computer and Information Science) by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo


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