Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics : International Workshop, SLS 2009, Brussels, Belgium, September 3-5, 2009, Proceedings

Lingua: inglese

Editore: Springer, Springer Spektrum, 2009

364203750X / 9783642037504

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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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.

Codice articolo 9783642037504

Titolo
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics : International Workshop, SLS 2009, Brussels, Belgium, September 3-5, 2009, Proceedings
Autore
Thomas Stützle
Editore
Springer, Springer Spektrum
Anno di pubblicazione
2009
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
364203750X
ISBN 13
9783642037504
Peso dell'articolo
265 grammi
Dimensioni
235x155x10 mm

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 30 a 40 giorni lavorativiDa 7 a 14 giorni lavorativi
Primo articoloEUR 61,33EUR 71,33
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