Kniha Logic-Based Methods for Optimization John Hooker

Logic-Based Methods for Optimization

Combining Optimization and Constraint Satisfaction

Autor: John Hooker
Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: John Wiley & Sons Inc
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-18 dní
213.44
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2000
Stránok
520
EAN
9780471385219
ISBN
0471385212
Enbook ID
04890350
Hmotnosť
972
Rozmery
165 x 240 x 34

Kompletný popis

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

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