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Título Hybrid Optimization [electronic resource] : The Ten Years of CPAIOR / edited by Pascal van Hentenryck, Michela Milano.

Publicación New York, NY : Springer New York, 2011.
Edición 1.
Descripción física XII, 560 p. online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Colección Springer Optimization and Its Applications, 1931-6828 ; 45
Springer Optimization and Its Applications, 1931-6828 ; 45
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Springer eBooks. Mathematics and Statistics
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Resumen: This volume focuses on the integration of artificial intelligence and constraint programming to solve problems in operations research and combinatorial optimization. This volume collects the contributions of experts from various research areas including decision theory, systems engineering, propositional satisfiability, mathematical optimization, and artificial intelligence. These invited scholars describe and demonstrate some of the most important topics and results from the last ten years of research related to hybrid optimization. Key Features: - Includes both well established research results, and directions for future research. - Provides several solution methods for common combinatorial optimization and decision problems. - Presents both theoretical techniques and real-world applications in artificial intelligence and operations research. Hybrid Optimization can serve as a valuable resource for graduate students, researchers and practitioners studying artificial intelligence or operations research who are interested in investigating or applying constraint programming techniques.
Materia Mathematics.
Artificial intelligence.
Mathematical optimization.
Operations research.
Management science.
Computational intelligence.
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Artificial Intelligence (incl. Robotics).
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Operations Research, Management Science.
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Computational Intelligence.
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Autor secundario van Hentenryck, Pascal., editor.
Milano, Michela., editor.
SpringerLink (Online service)
En Springer eBooks
OTRO SOPORTE Printed edition: 9781441916433
ISBN 9781441916440 978-1-4419-1644-0
ISBN/ISSN 10.1007/978-1-4419-1644-0 doi