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Engineering Stochastic Local Search Algorithms. Designing, Implementing And Analyzing Effective Heuristics: International Workshop, Sls 2007, Brussels, . Computer Science And General Issues)
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Librería: Majestic Books, Hounslow, Reino Unido
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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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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2007, ... (Lecture Notes in Computer Science, 4638)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2009, ... (Lecture Notes in Computer Science, 5752)
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics : International Workshop, SLS 2009, Brussels, Belgium, September 3-5, 2009, Proceedings
Publicado por Springer Berlin Heidelberg, 2009
ISBN 10: 364203750X ISBN 13: 9783642037504
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic local search (SLS) algorithms are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, 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. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise partly from the complexity of the problems being tackled and in part from the many - grees of freedom researchers and practitioners encounter when developing SLS algorithms. Crucial aspects in the SLS algorithm development comprise al- rithm design, empirical analysis techniques, problem-speci c background, and background knowledge in several key disciplines and areas, including computer science, operations research, arti cial intelligence, and statistics.
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ENGINEERING STOCHASTIC LOCAL SEARCH ALGORITHMS. DESIGNING, IMPLEMENTING AND ANALYZING EFFECTIVE HEURISTICS: INTERNATIONAL WORKSHOP, SLS 2007, BRUSSELS, . COMPUTER SCIENCE AND GENERAL ISSUES)
Librería: Basi6 International, Irving, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 43,32
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics : International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings
Publicado por Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540744452 ISBN 13: 9783540744450
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
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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.
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ENGINEERING STOCHASTIC LOCAL SEARCH ALGORITHMS. DESIGNING, IMPLEMENTING AND ANALYZING EFFECTIVE HEURISTICS: INTERNATIONAL WORKSHOP, SLS 2009, BRUSSELS, . COMPUTER SCIENCE AND GENERAL ISSUES)
Librería: Basi6 International, Irving, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 44,91
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, Sls 2009, Brussels
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics : International Workshop, SLS 2007, Brussel
Librería: Chiron Media, Wallingford, Reino Unido
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2007, . Computer Science and General Issues)
Librería: GuthrieBooks, Spring Branch, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 18,35
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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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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, Sls 2009, Brussels, Belgium, September 3-5, 2009, Proceedings: Vol 5752
Publicado por Springer-Verlag New York Inc, 2009
ISBN 10: 364203750X ISBN 13: 9783642037504
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 2009 edition. 155 pages. 9.00x6.00x0.50 inches. In Stock.
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Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007 Brussels, Belgium, September 6-8, 2007 Proceedings
Publicado por Springer-Verlag New York Inc, 2007
ISBN 10: 3540744452 ISBN 13: 9783540744450
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 76,46
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 221 pages. 9.00x6.00x0.50 inches. In Stock.
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2009, 2009
ISBN 10: 364203750X ISBN 13: 9783642037504
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Stochastic local search (SLS) algorithms are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, 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. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise partly from the complexity of the problems being tackled and in part from the many - grees of freedom researchers and practitioners encounter when developing SLS algorithms. Crucial aspects in the SLS algorithm development comprise al- rithm design, empirical analysis techniques, problem-speci c background, and background knowledge in several key disciplines and areas, including computer science, operations research, arti cial intelligence, and statistics. 168 pp. Englisch.
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: Second International Workshop, SLS 2009 . (Lecture Notes in Computer Science (5752))
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
EUR 73,00
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2009, ... (Lecture Notes in Computer Science, 5752)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2007, ... (Lecture Notes in Computer Science, 4638)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 52,17
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ENGINEERING STOCHASTIC LOCAL SEARCH ALGO
Librería: OM Books, Sevilla, SE, España
Calificación del vendedor: 5 de 5 estrellas
EUR 187,00
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Publicado por Springer Berlin Heidelberg Aug 2009, 2009
ISBN 10: 364203750X ISBN 13: 9783642037504
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Stochastic local search (SLS) algorithms are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, 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. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise partly from the complexity of the problems being tackled and in part from the many - grees of freedom researchers and practitioners encounter when developing SLS algorithms. Crucial aspects in the SLS algorithm development comprise al- rithm design, empirical analysis techniques, problem-speci c background, and background knowledge in several key disciplines and areas, including computer science, operations research, arti cial intelligence, and statistics. 168 pp. Englisch.
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 78,38
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Añadir al carritoCondición: New. Print on Demand pp. 168 Illus.
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
EUR 81,64
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 168.
