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Adaptive and Multilevel Metaheuristics - Carlos Cotta
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Carlos Cotta:

Adaptive and Multilevel Metaheuristics - Paperback

2010, ISBN: 3642098339

[EAN: 9783642098338], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], LAYER; PROBLEM-SOLVING; ALGORITHM; ALGORITHMS; EVOLUTION; EVOLUTIONARYALGORITHM; FUNCTION; HEURISTICS; METAHEUR… More...

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Adaptive and Multilevel Metaheuristics: 136 (Studies in Computational Intelligence, 136)
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Adaptive and Multilevel Metaheuristics: 136 (Studies in Computational Intelligence, 136) - Paperback

2010, ISBN: 9783642098338

Editor: Cotta, Carlos, Editor: Sevaux, Marc, Editor: Sörensen, Kenneth, Springer, Paperback, Auflage: Softcover reprint of hardcover 1st ed. 2008, 290 Seiten, Publiziert: 2010-10-28T00:00… More...

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Adaptive and Multilevel Metaheuristics - Carlos Cotta; Marc Sevaux; Kenneth Sörensen
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Carlos Cotta; Marc Sevaux; Kenneth Sörensen:
Adaptive and Multilevel Metaheuristics - Paperback

2010

ISBN: 9783642098338

Buch, Softcover, Softcover reprint of hardcover 1st ed. 2008, [PU: Springer Berlin], Springer Berlin, 2010

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Adaptive and Multilevel Metaheuristics (Studies in Computational Intelligence (136)) - Paperback

2010, ISBN: 3642098339

[EAN: 9783642098338], Gebraucht, wie neu, [PU: Springer], Like New, Books

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Adaptive and Multilevel Metaheuristics - Cotta, Carlos
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Cotta, Carlos:
Adaptive and Multilevel Metaheuristics - Paperback

ISBN: 9783642098338

paperback, [PU: Springer, Berlin/Heidelberg/New York, NY]

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Adaptive and Multilevel Metaheuristics: 136 (Studies in Computational Intelligence, 136)
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ISBN:

3642098339


One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological attempts, it largely remains a scientific art. Transferring a part of this customization effort to the algorithm itself -endowing it with smart mechanisms to self-adapt to the problem- has been a long pursued goal in the field of metaheuristics.These mechanisms can involve different aspects of the algorithm, such as for example, self-adjusting the parameters, self-adapting the functioning of internal components, evolving search strategies, etc.Recently, the idea of hyperheuristics, i.e., using a metaheuristic layer for adapting the search by selectively using different low-level heuristics, has also been gaining popularity. This volume presents recent advances in the area of adaptativeness in metaheuristic optimization, including up-to-date reviews of hyperheuristics and self-adaptation in evolutionary algorithms, as well as cutting edge works on adaptive, self-adaptive and multilevel metaheuristics, with application to both combinatorial and continuous optimization.

Details of the book - Adaptive and Multilevel Metaheuristics: 136 (Studies in Computational Intelligence, 136)


EAN (ISBN-13): 9783642098338
ISBN (ISBN-10): 3642098339
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
292 Pages
Weight: 0,445 kg
Language: eng/Englisch

Book in our database since 2011-07-27T11:10:36-04:00 (New York)
Detail page last modified on 2023-08-06T01:21:21-04:00 (New York)
ISBN/EAN: 3642098339

ISBN - alternate spelling:
3-642-09833-9, 978-3-642-09833-8
Alternate spelling and related search-keywords:
Book author: sorensen, cotta, cott, carl sörensen
Book title: studies computational intelligence

Information from Publisher

Author: Carlos Cotta; Marc Sevaux; Kenneth Sörensen
Title: Studies in Computational Intelligence; Adaptive and Multilevel Metaheuristics
Publisher: Springer; Springer Berlin
275 Pages
Publishing year: 2010-10-28
Berlin; Heidelberg; DE
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XV, 275 p.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Layer; Problem-solving; algorithm; algorithms; evolution; evolutionary algorithm; function; heuristics; metaheuristic; optimization; particle swarm; particle swarm optimization; probability; search strategy; virtual reality; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BB

Reviews of the Field.- Hyperheuristics: Recent Developments.- Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation.- New Techniques and Applications.- An Efficient Hyperheuristic for Strip-Packing Problems.- Probability-Driven Simulated Annealing for Optimizing Digital FIR Filters.- RASH: A Self-adaptive Random Search Method.- Market Based Allocation of Transportation Orders to Vehicles in Adaptive Multi-objective Vehicle Routing.- A Simple Evolutionary Algorithm with Self-adaptation for Multi-objective Nurse Scheduling.- Individual Evolution as an Adaptive Strategy for Photogrammetric Network Design.- Adaptive Estimation of Distribution Algorithms.- Initialization and Displacement of the Particles in TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm.- Evolution of Descent Directions.- “Multiple Neighbourhood” Search in Commercial VRP Packages: Evolving Towards Self-Adaptive Methods.- Automated Parameterisation of a Metaheuristic for the Orienteering Problem.
Presents recent results in Adaptive and Multilevel Metaheuristics
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