EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

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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.

Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation Carefully edited book on optimization, operation research, numerical analysis and evolutionary computation Written by leading experts in the field

Inhalt
Part I Cell Mapping and Quasi-stationary Distributions.- Part II Genetic Programming.- Part III EvolutionaryMulti-objective Optimization.- Part IV Combinatorial Optimization.- Part V ProbabilisticModeling and Optimization for Emerging Networks.- Part VI Hybrid Probabilistic Models for Real Parameter Optimization and their Applications.- Part VII Evolutionary Computation for Vision, Graphics, and Robotics.- Part VIII Real-world Application of Bio-inspired Metaheuristics.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642315183
    • Auflage 2013
    • Editor Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Pierrick Legrand, Pascal Bouvry, Pierre Del Moral, Emilia Tantar
    • Sprache Englisch
    • Genre Allgemeines & Lexika
    • Lesemotiv Verstehen
    • Größe H235mm x B155mm x T29mm
    • Jahr 2012
    • EAN 9783642315183
    • Format Kartonierter Einband
    • ISBN 3642315186
    • Veröffentlichung 14.08.2012
    • Titel EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
    • Untertitel Advances in Intelligent Systems and Computing 175
    • Gewicht 797g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 532

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