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 flexibl
A logic view of 0-1 integer programming problems, providing new insights into the structure of probl...
A promising research line in the optimization community regards the hybridization of exact and heuri...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
. This paper proposes a logic-based approach to optimization that combines solution methods from ma...
... This paper summarizes and contrasts the characteristics of the two fields; in particular, how th...
Optimization and constraint satisfaction methods are complementary to a large extent, and there has...
Optimization can make at least two contributions to boolean logic. Its solution meth-ods can address...
There has been a lot of interest lately from people solving constrained optimization problems for co...
Providing a modeling solution for optimization problems, this book integrates the key concepts of ma...
In this article we illustrate that Constraint Logic Programming (CLP) systems allow easy expression ...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
Abstract This tutorial describes a logic-based approach to formulating and solving pure and mixed in...
While there exist several approaches in the constraint programming community to learn a constraint t...
Search-optimization problems are plentiful in scientific and engineering domains. Artificial intelli...
Linear programming and constraint propagation are complementary techniques with the potential for in...
A logic view of 0-1 integer programming problems, providing new insights into the structure of probl...
A promising research line in the optimization community regards the hybridization of exact and heuri...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
. This paper proposes a logic-based approach to optimization that combines solution methods from ma...
... This paper summarizes and contrasts the characteristics of the two fields; in particular, how th...
Optimization and constraint satisfaction methods are complementary to a large extent, and there has...
Optimization can make at least two contributions to boolean logic. Its solution meth-ods can address...
There has been a lot of interest lately from people solving constrained optimization problems for co...
Providing a modeling solution for optimization problems, this book integrates the key concepts of ma...
In this article we illustrate that Constraint Logic Programming (CLP) systems allow easy expression ...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
Abstract This tutorial describes a logic-based approach to formulating and solving pure and mixed in...
While there exist several approaches in the constraint programming community to learn a constraint t...
Search-optimization problems are plentiful in scientific and engineering domains. Artificial intelli...
Linear programming and constraint propagation are complementary techniques with the potential for in...
A logic view of 0-1 integer programming problems, providing new insights into the structure of probl...
A promising research line in the optimization community regards the hybridization of exact and heuri...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...