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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

ISBN: 3639034562

Paperback, [EAN: 9783639034561], VDM Verlag, VDM Verlag, Book, [PU: VDM Verlag], VDM Verlag, 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., 5, Computers & Technology, 549726, Business Technology, 3448, Certification, 3508, Computer Science, 549646, Databases & Big Data, 6133988011, Digital Audio, Video & Photography, 87, Games & Strategy Guides, 4134, Graphics & Design, 549652, Hardware & DIY, 10806606011, History & Culture, 69766, Internet & Social Media, 377557011, Mobile Phones, Tablets & E-Readers, 3652, Networking & Cloud Computing, 3756, Operating Systems, 3839, Programming, 3952, Programming Languages, 377560011, Security & Encryption, 4053, Software, 3510, Web Development & Design, 1000, Subjects, 283155, Books, 468204, Computer Science, 491298, Algorithms, 491300, Artificial Intelligence, 491306, Database Storage & Design, 491308, Graphics & Visualization, 491302, Networking, 491310, Object-Oriented Software Design, 491312, Operating Systems, 491314, Programming Languages, 491316, Software Design & Engineering, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, 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: 3639034562

ID: 20006533013

[EAN: 9783639034561], Neubuch, [PU: VDM Verlag Jul 2008], Computers & the Internet|General, Neuware - 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. 380 pp. Englisch

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Klaus Varrentrapp:
A Practical Framework for Adaptive Metaheuristics - Taschenbuch

ISBN: 9783639034561

Paperback, [PU: VDM Verlag Dr. Mueller e.K.], 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., Computing: General

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Klaus Varrentrapp:
A Practical Framework For Adaptive Metaheuristics - Taschenbuch

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Klaus Varrentrapp:
A Practical Framework for Adaptive Metaheuristics - Taschenbuch

2008, ISBN: 3639034562

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[EAN: 9783639034561], Neubuch, [PU: VDM Verlag], Computers & the Internet|General, This item is printed on demand.

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A Practical Framework for Adaptive Metaheuristics

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
Gebundene Ausgabe
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 15.08.2017 12:52:46
ISBN/EAN: 9783639034561

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


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