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 ...

Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

This paper describes the development of an air mission planning algorithm for the Joint Stochastic Warfare Analysis Research (JSTOCHWAR). The overall problem scope was to develop an algorithm to ...

In the dynamic world of clinical trials, innovative methods are vital to improving the efficiency and reliability of medical research. One area that has garnered both interest and scepticism is ...

Do you want to enter the job market as a competitive GIS modeler with programming skills? This course will help you get there. It focuses on the extension of geographic information systems (GIS) ...