Constraint based programming is the paradigm by which changes in other variables effect changes in their dependent variables. In this specific case, constraints are used to ensure the dynamically ...

This project uses Google OR-Tools CP-SAT solver to create a daily activity schedule respecting time constraints, categories, and locations. Key features: Activities: Defined with durations, earliest ...

Concurrent Constraint Programming introduces a new and rich class of programming languages based on the notion of computing with partial information, or constraints, that synthesize and extend work on ...

The Journal of the Operational Research Society, Vol. 50, No. 6 (Jun., 1999), pp. 581-595 (15 pages) This paper is aimed at researchers and practitioners in ...

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

A critical factor in the success of many decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their preferences during ...