Our work improves on the state-of-the-art by providing Integer Linear Programming (ILP) formulations supporting arbitrarily heterogeneous architectures. By modeling axonal interactions between neurons ...

This study proposes a mixed-integer programming approach to minimize such switches while ensuring water quality and satisfying drinking water tank capacity constraints. Considering daily operations, ...

By using ML surrogates to predict required system costs and performance indicators, we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) ...

An optimization tool to select the best 10-course plan for Georgia Tech's MSCS, using linear programming to balance specialization requirements and personal preferences.

About Interactive mixed integer linear programming solver in Python by Peijun Xiao, Zeyi Wang, Yuan Zhou Readme GPL-2.0 license Activity ...

This paper presents a nonintrusive load monitoring (NILM) algorithm based on mixed-integer linear programming. The formulation deals with the problem of multiple switching that arises when ...

In this article, we propose a framework for the stability verification of mixed-integer linear programming (MILP) representable control policies. This framework compares a fixed candidate policy, ...