Ultimately, the big takeaway for ML researchers is that before proclaiming an AI milestone—or obituary—make sure the test itself isn’t flawed ...

Internal Research Fellow (PostDoc) in Computer Science and Applied Mathematics Directorate: Technology, Engineering and Quality ...

Two integer linear programming models are developed for the unrestricted vehicle routing problem with two-dimensional loading constraints. The first one is a complete model, and the other uses valid ...

In this article, we develop piecewise linear surrogates using Machine Learning (ML) models and the Optimization and ... results in a large-scale mixed-integer nonlinear programming (MINLP) problem.

Understanding how to troubleshoot these constraints effectively can save you time and headaches. Let's delve into some strategies to help you refine your integer programming models and get the ...

Abstract: For the nonintrusive load monitoring problem, we propose a new efficient mixed-integer linear programming ... our model takes it a step further by incorporating continuous power variables ...

To obtain a minimum backbone grid, a mixed integer linear programming (MILP) model with network connectivity constraints for a minimum backbone grid is proposed. In the model, some constraints are ...

We present integer linear models with a polynomial ... a polynomial number of variables and constraints to solve some combinatorial optimization problems using commercial codes. When we solve integer ...