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 ...

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 ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems. The open source ...

Ask the publishers to restore access to 500,000+ books. A line drawing of the Internet Archive headquarters building façade. An illustration of a heart shape "Donate to the archive" An illustration of ...

Set of tools produced during the creation of the PhD thesis "Model selection and testing for an automated constraint modelling toolchain" which focused on how to find good constraint programming ...

ABSTRACT: In end-to-end QoS provisioning some bandwidth portions on the link may be reserved for certain traffic classes (and for particular set of users) so the congestion problem of concurrent flows ...