PCP is a library to model constraint satisfaction problems (CSPs) in the constraint programming paradigm. Constraint programming is a paradigm for expressing problems in terms of mathematical ...

combinatorial problems. This method has been successfully used to solve a large range of real-life applications (rostering, time-tabling, car manufacturing, scheduling etc…), which can be quite ...

Abstract: Constraint programming is used for a variety of real-world optimization problems, such as planning, scheduling, and resource allocation problems, all while we continuously gather vast ...

This environment is designed to enable the training of Reinforcement Learning (RL) agents for solving Job-Shop Scheduling (JSS) problems using Constraint Programming (CP). It is fast and scalable, ...

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 ...

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 ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

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 ...