Get Computational Intelligence: Theory and Applications PDF

By Rudolf F. Albrecht (auth.), Bernd Reusch (eds.)

ISBN-10: 354066050X

ISBN-13: 9783540660507

Fuzzy Days in Dortmund have been held for the 1st time in 1991. at first, the con­ ference was once meant for scientists and practitioners as a platform for discussions on conception and alertness of fuzzy common sense. Early on, synergetic hyperlinks with neural networks have been integrated and the convention developed steadily to include the entire spectrum of what's now known as Computational Intelligence (CI). for that reason, it appeared logical to release the 4th Fuzzy Days in 1994 as a convention for CI—one of the world's first meetings that includes fuzzy common sense, neural networks and evolu­ tionary algorithms jointly in a single occasion. Following this winning culture, the sixth Fuzzy Days' objective is to supply a world discussion board for reporting major effects at the conception and alertness of Cl-methods. once more, we've acquired a amazing variety of papers. i want to precise my gratitude to all who've been attracted to featuring their paintings in the framework of this convention and to the contributors of the programme committee for his or her necessary paintings (in this variation every one paper was once reviewed by means of 5 referees). specifically, I desire to thank all keynote and educational audio system for his or her dedication. final yet now not least, i'm obliged to the Deutsche Forschun- gemeinschaft and Kommunalverband Ruhrgebiet for his or her monetary support.

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Additional info for Computational Intelligence: Theory and Applications International Conference, 6th Fuzzy Days Dortmund, Germany, May 25–28 1999 Proceedings

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Zadeh LA (1983) The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets and Systems 11:199-227 13. Quinlan JR (1986) Induction of Decision Trees, Machine Learning 1, 81-106. de Abstract. In this paper we present an Evolutionary Algorithm (EA) for the Graph Coloring Problem (GCP). GCP has many important applications in VLSI CAD. The problem in general is known to be NP-hard. e. we make use of different heuristics to obtain efficient solutions. We perform a large set of experiments eind compare our EA to state-of-the-art heuristics.

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The performed experiments are described, and the results are analyzed. e. for the evaluation of solutions generated by the genetic algorithm. There are compared the selection operator based on dominance features (Pareto set) and that of scalar function based. 1 Introduction Genetic algorithms have widely been used in optimization tasks, and there are only a few works that use genetic algorithms to find rules. One of these studies is described [2] as follows: a set of solutions consists of various encoded rules: attribute\=valueB; attributes =valueC.

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Computational Intelligence: Theory and Applications International Conference, 6th Fuzzy Days Dortmund, Germany, May 25–28 1999 Proceedings by Rudolf F. Albrecht (auth.), Bernd Reusch (eds.)

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