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 ...

This is a preview. Log in through your library . Abstract In the present paper a procedure, in two phases is developed for maximizing a linear fractional functionals subject to one quadratic and a ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to ...

Join us for an engaging roundtable of how to combine these insights to inform robust and effective instructional programming to promote equity and help students succeed. Our seasoned educator ...