Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...
Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...
Abstract: This paper presents a mathematical model and a solution approach to solve the hot rolling scheduling problem. The problem is formulated as a constraint satisfaction problem with various ...
Abstract: We present new techniques for explicit constraint satisfaction in the incremental placement process. Our algorithm employs a Lagrangian Relaxation (LR) type approach in the analytical global ...
If you’ve ever completed a sudoku puzzle, then you’ve completed a constraint satisfaction problem (CSP). This type of problem is defined as a mathematical question where a number of constraints or ...
Course given by: Gauthier PICARD, Professor. PhD. HDR at the Ecole des Mines de Saint-étienne. Here is his statement of the problem: https://www.emse.fr/~picard ...
This project represents some independent study I did when learning about Constraint Satisfaction Problems in AI. This code was written to help understand and demonstrate the following optimization ...
RODOS is a Real-time On-line DecisiOn Support system intended for use throughout a nuclear emergency, extending into the longer term. In this paper we concentrate on the early phases in which ...
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