Logic-Based Methods for Optimization. Combining Optimization and Constraint Satisfaction.pdf

Logic-Based Methods for Optimization. Combining Optimization and Constraint Satisfaction

John Hooker

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 Benders decomposition• Reviews the necessary technologies for software developers seeking to combine the two techniques• Features extensive references to important computational studies• And much more

John Hooker - Tepper School of Business - Carnegie … Logic based approaches for mixed integer programming models and their application in process synthesis (author(s): I. Grossmann, John Hooker) Proceedings of 5th FOCAPD Conference, 2000; 70-83. Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction. Wiley, 2000. Inference duality as a basis for sensitivity analysis

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Logic-Based Methods for Optimization. Combining Optimization and Constraint Satisfaction.pdf


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Notes actuelles

Sofya Voigtuh

19 Jun 2006 ... Abstract: Combinatorial optimization over continuous and integer ... In this paper, we attempt to overcome such a difficulty by combining ... problems with symbolic techniques for solving constraint satisfaction problems (CSP). 1 Apr 2018 ... We present an overview of the integration of constraint programming (CP) and operations research (OR) to solve combinatorial optimization problems. ... approach that provides the basis for integration using four main strategies. ... using CP-based column generation or logic-based Benders decomposition.

Mattio Müllers

Methods Optimization: Combining Optimization and …

Noels Schulzen

Logic‐Based Methods for Optimization | Wiley …

Jason Leghmann

"Logic-Based Methods for Optimization: Combining ...

Jessica Kolhmann

Noté /5. Retrouvez Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction by John Hooker (2000-05-12) et des millions de … Logic-Based Methods for Optimization (May 12, …