Téléchargez le livre : Logic-Based Methods for Optimization

Logic-Based Methods for Optimization

Combining Optimization and Constraint Satisfaction de

Éditeur :

Wiley-Interscience


Collection :

Wiley Series in Discrete Mathematics and Optimization

Paru le : 2011-09-28

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220,44 €
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Description
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction
While recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic in optimization as the key to unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating optimization and constraint satisfaction, then goes a step further and shows how extending logical inference to optimization allows for more powerful as well as flexible modeling and solution techniques. Designed to be easily accessible to industry professionals and academics in both operations research and artificial intelligence, the book provides a wealth of examples as well as elegant techniques and modeling frameworks ready for implementation. Timely, original, and thought-provoking, Logic-Based Methods for Optimization:
* Demonstrates the advantages of combining the techniques in problem solving
* Offers tutorials in constraint satisfaction/constraint programming and logical inference
* Clearly explains such concepts as relaxation, cutting planes, nonserial dynamic programming, and Bender's decomposition
* Reviews the necessary technologies for software developers seeking to combine the two techniques
* Features extensive references to important computational studies
* And much more
Pages
520 pages
Collection
Wiley Series in Discrete Mathematics and Optimization
Parution
2011-09-28
Marque
Wiley-Interscience
EAN papier
9780471385219
EAN PDF
9781118031285
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
520
Taille du fichier
22620 Ko
Prix
220,44 €

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