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Youssef Hamadi | Akateeminen Kirjakauppa

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Autonomous Search
Youssef Hamadi; Eric Monfroy; Frédéric Saubion
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012)
Kovakantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Learning and Intelligent Optimization - 6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Select
Youssef Hamadi; Marc Schoenauer
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Combinatorial Search: From Algorithms to Systems
Youssef Hamadi
Springer (2013)
Kovakantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Autonomous Search
Youssef Hamadi; Eric Monfroy; Frédéric Saubion
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2014)
Pehmeäkantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Combinatorial Search: From Algorithms to Systems
Youssef Hamadi
Springer (2016)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Handbook of Parallel Constraint Reasoning
Youssef Hamadi (ed.); Lakhdar Sais (ed.)
Springer (2018)
Kovakantinen kirja
129,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Handbook of Parallel Constraint Reasoning
Youssef Hamadi (ed.); Lakhdar Sais (ed.)
Springer (2019)
Pehmeäkantinen kirja
107,50
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Tractability: Practical Approaches to Hard Problems
Lucas Bordeaux; Youssef Hamadi; Pushmeet Kohli
Cambridge University Press (2014)
Kovakantinen kirja
138,70
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Autonomous Search
97,90 €
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Sivumäärä: 308 sivua
Asu: Kovakantinen kirja
Painos: 2012
Julkaisuvuosi: 2012, 05.01.2012 (lisätietoa)
Kieli: Englanti
Decades of innovations in combinatorial problem solving have produced better and more complex algorithms. These new methods are better since they can solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to fine-tune to the peculiarities of a given problem. This last point has created a paradox where efficient tools are out of reach of practitioners.



Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems.



This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms.

Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems.



This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms.



This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms.

This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms.

Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
LISÄÄ OSTOSKORIIN
Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 4-5 viikossa | Tilaa jouluksi viimeistään 27.11.2024
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
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ISBN:
9783642214332
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