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

This publication constitutes the refereed lawsuits of the seventh overseas convention on man made Intelligence and smooth Computing, ICAISC 2004, held in Zakopane, Poland in June 2004.The 172 revised contributed papers provided including 17 invited papers have been conscientiously reviewed and chosen from 250 submissions. The papers are prepared in topical sections on neural networks, fuzzy structures, evolutionary algorithms, tough units, tender computing in type, snapshot processing, robotics, multiagent structures, difficulties in AI, clever keep watch over, modeling and procedure id, scientific functions, mechanical functions, and functions in a variety of fields.

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It should be noted the sparsity measure does not need be necessary a norm, although we use such notation. For example, we can apply Shannon, Gauss or Renyi entropy or normalized kurtosis as measure of the (anti-)sparsity [1,7,10]. In the standard form, we use with Especially, quasi-norm attract a lot of attention since it ensures sparsest representation [13,10]. Unfortunately, such formulated problem Blind Signal Separation and Extraction 35 (3) for with is rather very difficult, especially for it is NP-hard, so for a large scale problem it is numerically untractable.

References 1. Bayro-Corrochano E. Geometric Computing for Perception Action Systems. Springer Verlag, New York, 2001. 2. , Arana-Daniel N. and Vallejo-Gutierrez R. Design of kernels for support multivector machines involving the Clifford geometric product and the conformal geometric neuron. In Proc. of the Int. Join Conference on Neural Networks’2003, Portland, Oregon, USA, July 20-24, pp. 2893-2898. 3. Li :, Hestenes D. and Rockwood A. Generalized homogeneous coordinates for computational geometry.

Chromosome representation of the system Fixed applications represent applications that have been assigned to clients or to server farms. In this case the mapping of the chromosome is different. Only applications declared as Free by the designer are coded into the chromosome since only they represent the variables of the problem (Figure 3). Such a kind of requirements change the permitted ranges for chromosome integers. If a class have fixed application to server farms, then the clients cannot become FAT, hence the integer value SF must start from 1, see class in Figure 3.

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