Artificial Intelligence and Soft Computing -- Icaisc 2004 by Rutkowski L. (Ed), Zadeh L. A. (Ed)

By Rutkowski L. (Ed), Zadeh L. A. (Ed)

This publication constitutes the refereed court cases of the seventh overseas convention on synthetic Intelligence and smooth Computing, ICAISC 2004, held in Zakopane, Poland in June 2004.The 172 revised contributed papers awarded including 17 invited papers have been conscientiously reviewed and chosen from 250 submissions. The papers are prepared in topical sections on neural networks, fuzzy platforms, evolutionary algorithms, tough units, delicate computing in class, photo processing, robotics, multiagent platforms, difficulties in AI, clever keep an eye on, modeling and method id, clinical functions, mechanical functions, and functions in numerous fields.

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By Rutkowski L. (Ed), Zadeh L. A. (Ed)

This publication constitutes the refereed court cases of the seventh overseas convention on synthetic Intelligence and smooth Computing, ICAISC 2004, held in Zakopane, Poland in June 2004.The 172 revised contributed papers awarded including 17 invited papers have been conscientiously reviewed and chosen from 250 submissions. The papers are prepared in topical sections on neural networks, fuzzy platforms, evolutionary algorithms, tough units, delicate computing in class, photo processing, robotics, multiagent platforms, difficulties in AI, clever keep an eye on, modeling and method id, clinical functions, mechanical functions, and functions in numerous fields.

Show description

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Since the fitting function is a cost, the proposed problem is a minimization of the fitting of the individuals. 4 Experimental Results Empirical verifications were performed in order to evaluate the effectiveness of our cost minimization approach. Analyses are based on a database of commercial 1 The simple cross-over operator exchanges the genes of two chromosomes satisfying the admitted ranges of integers. Evolutionary Design of Information Systems Architectures 7 components and related cost data.

Figure 2 shows the application of mutation and cross-over operators to the chromosome plotted in Figure 1. All applications of class are now allocated on a server (integers corresponding to are equal to 1). Hence, the genetic operators transformed the clients of from HFC into thin clients. For this reason a new server farm for user class has been created. Fig. 1. Chromosome representation of the system Fixed applications represent applications that have been assigned to clients or to server farms.

IEEE Trans. on SMC, Part A: Systems and Humans 31 (2001) 587-596 4. : Uncertain Logics, Variables and Systems. Springer Verlag, Berlin London, N. York (2002) 5. : Learning process in a class of computer integrated manufacturing systems with parametric uncertainties. Journal of Intelligent Manufacturing 13 (2002) 409–415 6. : Application of uncertain variables to decision making in a class of distributed computer systems. Proc. of 17th IFIP World Computer Congress. Intelligent Information Processing.

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