Abstract: Fuzzy constraint programming is implemented to optimize a cost function facing vague constraints. In this paper, for the first time, a novel distributed constraint programming is developed ...

Abstract: Around twenty years ago, Generative Constraint Programming techniques, such as the Generative Constraint Satisfaction Problem (GCSP), were developed to deal with problems mainly based on ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

This repository contains the code and runnable notebook for our Explainable Constraint Solving tutorials and talks. Explainable constraint solving is a sub-field of explainable AI (XAI) concerned with ...

Datasets related to the paper: "Improving the efficiency of Euclidean TSP solving in Constraint Programming by predicting effective nocrossing constraints" (Elena Bellodi, Alessandro Bertagnon, Marco ...

ABSTRACT: This paper describes methods to merge two cover inequalities and also simultaneously merge multiple cover inequalities in a multiple knapsack instance. Theoretical results provide conditions ...

We describe a new active-set, cutting-plane Constraint Optimal Selection Technique (COST) for solving general linear programming problems. We describe strategies to bound the initial problem and ...