Advances in Evolutionary Computing

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  • Advances in Evolutionary Computing Book Detail

  • Author : Ashish Ghosh
  • Release Date : 2012-12-06
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 1001
  • ISBN 13 : 3642189652
  • File Size : 93,93 MB

Advances in Evolutionary Computing by Ashish Ghosh PDF Summary

Book Description: This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

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Advances in Evolutionary Computing

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Evolution is Nature’s design process. The natural world is full of wonderful examples of its successes, from engineering design feats such as powered flight,

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This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It star

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Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability