The purpose of this introductory chapter is to provide the basic concepts behind Constraint Programming CP and Integer Programming IP. These two fields cover a variety of aspects and have been widely studied. Therefore, here we do not intend to give a deep insight of the fields, but to provide the definitions and concepts for understanding the rest of this book. We explain CP and IP modelling aspects and solving strategies. We ground our discussion on an example: the car sequencing problem. The chapter provides references to relevant biography which can be referred to for a deeper understanding
Generalised Assignment Problems (GAP), traditionally solved by Integer Programming techniques, are a...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
The purpose of this introductory chapter is to provide the basic concepts behind Constraint Program...
The purpose of this introductory chapter is to provide the basic concepts behind Constraint Program...
We introduce branch and infer, a unifying framework for integer linear programming and finite domain...
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws o...
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws o...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
We investigate different solution techniques for solving a basic part of configuration problems, nam...
This article introduces constraint integer programming (CIP), which is a novel way to combine constr...
Many discrete optimization problems can be formulated as either integer linear programming problems ...
Many discrete optimization problems can be formulated as either integer linear programming problems ...
Contribution à un ouvrage.We develop a unifying view of integer linear programming and finite domain...
Generalised Assignment Problems (GAP), traditionally solved by Integer Programming techniques, are a...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
The purpose of this introductory chapter is to provide the basic concepts behind Constraint Program...
The purpose of this introductory chapter is to provide the basic concepts behind Constraint Program...
We introduce branch and infer, a unifying framework for integer linear programming and finite domain...
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws o...
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws o...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
We investigate different solution techniques for solving a basic part of configuration problems, nam...
This article introduces constraint integer programming (CIP), which is a novel way to combine constr...
Many discrete optimization problems can be formulated as either integer linear programming problems ...
Many discrete optimization problems can be formulated as either integer linear programming problems ...
Contribution à un ouvrage.We develop a unifying view of integer linear programming and finite domain...
Generalised Assignment Problems (GAP), traditionally solved by Integer Programming techniques, are a...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...