EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II: 175 2013th Edition

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II: 175 2013th Edition book cover

EVOLVE – A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II: 175 2013th Edition

Author(s): Oliver Schütze (Editor), Carlos A. Coello Coello (Editor), Alexandru-Adrian Tantar (Editor), Emilia Tantar (Editor), Pascal Bouvry (Editor), Pierre Del Moral (Editor), Pierrick Legrand (Editor)

  • Publisher: Springer
  • Publication Date: 14 Aug. 2012
  • Edition: 2013th
  • Language: English
  • Print length: 532 pages
  • ISBN-10: 9783642315183
  • ISBN-13: 9783642315183

Book Description

This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.

Editorial Reviews

From the Back Cover

This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects.
The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements
may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.

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