Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...

Welcome to the Constraints Programming project! This repository is dedicated to implementing and exploring solutions using constraint programming techniques, written entirely in C. Constraint ...

In this paper we consider the bilevel programming problem (BLPP), which is a sequence of two optimization problems where the constraint region of the upper-level problem is determined implicitly by ...

Constraint Programming (CP) has been successful in a number of combinatorial search and discrete optimisation problems. Yet other more traditional approaches, such as Integer Programming (IP), can ...

Abstract: This paper introduces StreamLLM, a method that uses Large Language Models (LLMs) to generate streamliners for constraint programming. Streamliners narrow the search space to improve the ...

Abstract: In real production, machines are operated by workers, and the constraints of worker flexibility should be considered. The flexible job shop scheduling problem with both machine and worker ...