Knowledge-Driven Computing

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  • Knowledge-Driven Computing Book Detail

  • Author : Carlos Cotta
  • Release Date : 2008-05-30
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 336
  • ISBN 13 : 3540774742
  • File Size : 13,13 MB

Knowledge-Driven Computing by Carlos Cotta PDF Summary

Book Description: The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven Computing approaches. More precisely, the ultimate goal has been to collect new knowledge representation, processing and computing paradigms which could be useful to practitioners involved in the area of discussion. To this end, contributions covering both theoretical aspects and practical solutions were preferred.

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Knowledge-Driven Computing

Knowledge-Driven Computing

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The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven C

Adaptive and Multilevel Metaheuristics

Adaptive and Multilevel Metaheuristics

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One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial

Soft Computing and Industry

Soft Computing and Industry

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Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world pro