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A Practical Framework for Adaptive Metaheuristics - Varrentrapp, Klaus
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Varrentrapp, Klaus:
A Practical Framework for Adaptive Metaheuristics - Taschenbuch

2008, ISBN: 9783639034561

[ED: Softcover], [PU: Vdm Verlag Dr. Müller], Local search methods (LSM) such as metaheuristics are useful tools to solve hard combinatorial optimization problems (COP). LSM can be further improved by identifying and exploiting regularities. This can be achieved by means of machine learning (ML) techniques to extend existing LSM. The author overviews how to integrate ML techniques into LSM to solve COP where only evaluative instead of constructive feedback can be obtained. A theoretical framework called Guided Adaptive Iterated Local Search (GAILS) is developed and investigated which demonstrates how to apply Reinforcement Learning (RL) to adaptively solve COP. The framework extends the well known and powerful metaheuristic Iterated Local Search and establishes the notion of a Local Search Agent that can be considered as an agent in a RL problem. An accompanying practical implementation framework for arbitrary GAILS algorithms is presented and theoretically as well as experimentally investigated. This book is written for readers interested in adaptive local search methods and the application of ML techniques in combinatorial optimization. 2008. 380 p. 220 mm Sofort lieferbar, [SC: 0.00], Neuware, gewerbliches Angebot

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ISBN: 9783639034561

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Local search methods (LSM) such as metaheuristics are useful tools to solve hard combinatorial optimization problems (COP). LSM can be further improved by identifying and exploiting regularities. This can be achieved by means of machine learning (ML) techniques to extend existing LSM.The author overviews how to integrate ML techniques into LSM to solve COP where only evaluative instead of constructive feedback can be obtained. A theoretical framework called Guided Adaptive Iterated Local Search (GAILS) is developed and investigated which demonstrates how to apply Reinforcement Learning (RL) to adaptively solve COP. The framework extends the well known and powerful metaheuristic Iterated Local Search and establishes the notion of a Local Search Agent that can be considered as an agent in a RL problem. An accompanying practical implementation framework for arbitrary GAILS algorithms is presented and theoretically as well as experimentally investigated.This book is written for readers interested in adaptive local search methods and the application of ML techniques in combinatorial optimization. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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A Practical Framework for Adaptive Metaheuristics
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A Practical Framework for Adaptive Metaheuristics - Taschenbuch

2008, ISBN: 9783639034561

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], Local search methods (LSM) such as metaheuristics are useful tools to solve hard combinatorial optimization problems (COP). LSM can be further improved by identifying and exploiting regularities. This can be achieved by means of machine learning (ML) techniques to extend existing LSM. The author overviews how to integrate ML techniques into LSM to solve COP where only evaluative instead of constructive feedback can be obtained. A theoretical framework called Guided Adaptive Iterated Local Search (GAILS) is developed and investigated which demonstrates how to apply Reinforcement Learning (RL) to adaptively solve COP. The framework extends the well known and powerful metaheuristic Iterated Local Search and establishes the notion of a Local Search Agent that can be considered as an agent in a RL problem. An accompanying practical implementation framework for arbitrary GAILS algorithms is presented and theoretically as well as experimentally investigated. This book is written for readers interested in adaptive local search methods and the application of ML techniques in combinatorial optimization., [SC: 5.50], Neuware, gewerbliches Angebot, 220 mm, [GW: 505g]

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A Practical Framework for Adaptive Metaheuristics - Klaus Varrentrapp
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A Practical Framework for Adaptive Metaheuristics - Taschenbuch

2008, ISBN: 3639034562

Paperback, [EAN: 9783639034561], VDM Verlag Dr. Mueller e.K., VDM Verlag Dr. Mueller e.K., Book, [PU: VDM Verlag Dr. Mueller e.K.], 2008-06-30, VDM Verlag Dr. Mueller e.K., 269265, Computer Science, 269709, Algorithms, 269656, Architecture & Microprocessors, 404260, Artificial Intelligence, 269899, Databases, 269279, Information Systems, 269955, Interface Design, 269520, Networking & Security, 269622, Operating Systems, 269678, Programming, 269507, Security, 14159921, Software Design & Engineering, 269349, Systems Analysis & Design, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 14288281, Amazon, 14288271, Online Shopping, 14288081, Digital Lifestyle, 71, Computing & Internet, 1025612, Subjects, 266239, Books

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A Practical Framework for Adaptive Metaheuristics - Klaus Varrentrapp
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Klaus Varrentrapp:
A Practical Framework for Adaptive Metaheuristics - Taschenbuch

2008, ISBN: 9783639034561

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Details zum Buch
A Practical Framework for Adaptive Metaheuristics
Autor:

Varrentrapp, Klaus

Titel:

A Practical Framework for Adaptive Metaheuristics

ISBN-Nummer:

Local search methods (LSM) such as metaheuristics are useful tools to solve hard combinatorial optimization problems (COP). LSM can be further improved by identifying and exploiting regularities. This can be achieved by means of machine learning (ML) techniques to extend existing LSM. The author overviews how to integrate ML techniques into LSM to solve COP where only evaluative instead of constructive feedback can be obtained. A theoretical framework called Guided Adaptive Iterated Local Search (GAILS) is developed and investigated which demonstrates how to apply Reinforcement Learning (RL) to adaptively solve COP. The framework extends the well known and powerful metaheuristic Iterated Local Search and establishes the notion of a Local Search Agent that can be considered as an agent in a RL problem. An accompanying practical implementation framework for arbitrary GAILS algorithms is presented and theoretically as well as experimentally investigated. This book is written for readers interested in adaptive local search methods and the application of ML techniques in combinatorial optimization.

Detailangaben zum Buch - A Practical Framework for Adaptive Metaheuristics


EAN (ISBN-13): 9783639034561
ISBN (ISBN-10): 3639034562
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: VDM Verlag
380 Seiten
Gewicht: 0,582 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 10.09.2009 13:20:06
Buch zuletzt gefunden am 04.05.2017 08:47:05
ISBN/EAN: 9783639034561

ISBN - alternative Schreibweisen:
3-639-03456-2, 978-3-639-03456-1


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