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Añadir al carritoPaperback. Condición: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
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Librería: Ammareal, Morangis, Francia
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Añadir al carritoSoftcover. Condición: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2007. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2007. Ammareal gives back up to 15% of this item's net price to charity organizations.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 238.
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Añadir al carritoCondición: New. pp. 238 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. pp. 238.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2007
ISBN 10: 3540744452 ISBN 13: 9783540744450
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 221 pages. 9.00x6.00x0.50 inches. In Stock.
Idioma: Inglés
Publicado por Springer, Berlin, Springer, 2007
ISBN 10: 3540744452 ISBN 13: 9783540744450
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. To a large degree, this popularity is based on the conceptual simplicity of many SLS methods and on their excellent performance on a wide gamut of problems, ranging from rather abstract problems of high academic interest to the very s- ci c problems encountered in many real-world applications. SLS methods range from quite simple construction procedures and iterative improvement algorithms to more complex general-purpose schemes, also widely known as metaheuristics, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search and variable neighborhood search. Historically, the development of e ective SLS algorithms has been guided to a large extent by experience and intuition, and overall resembled more an art than a science. However, in recent years it has become evident that at the core of this development task there is a highly complex engineering process, which combines various aspects of algorithm design with empirical analysis techniques and problem-speci c background, and which relies heavily on knowledge from a number of disciplines and areas, including computer science, operations research, arti cial intelligence, and statistics. This development process needs to be - sisted by a sound methodology that addresses the issues arising in the various phases of algorithm design, implementation, tuning, and experimental eval- tion.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics | International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings | Thomas Stützle (u. a.) | Taschenbuch | x | Englisch | 2007 | Springer | EAN 9783540744450 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.