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EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II / / edited by Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand



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Titolo: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II / / edited by Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (503 p.)
Disciplina: 006.30151
519.02/462
Soggetto topico: Computational intelligence
Artificial intelligence
Statistics
Neural networks (Computer science)
Operations research
Computational Intelligence
Artificial Intelligence
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Mathematical Models of Cognitive Processes and Neural Networks
Operations Research and Decision Theory
Altri autori: SchutzeOliver  
Note generali: International conference proceedings.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: 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. .
Titolo autorizzato: EVOLVE-- A bridge between probability, set oriented numerics and evolutionary computation  Visualizza cluster
ISBN: 9786613943835
9781283631389
1283631385
9783642315190
3642315194
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910438049503321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 175