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

This paper presents a constraint logic programming model for the traveling salesman problem with time windows which yields an exact branch-and-bound optimization algorithm without any restrictive ...

With the rapid development of artificial intelligence technology, AI-driven learning methods are gradually permeating various fields, particularly evident in programming education. In recent years, ...

Miller and Wagner have shown that a deterministic equivalent of a joint chance-constrained programming model with independent random right-hand-side elements is a concave programming problem. This ...

Mathematical programming with vanishing constraints (MPVC) represents a challenging class of optimisation problems where certain constraints become inactive—or “vanish”—depending on specific ...

The MAQ20 data acquisition and control system from Dataforth uses a Python Application Programming Interface (API), which employs an object-oriented approach for communicating with MAQ20 systems; ...