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.

Developing a minimum backbone grid in the power system planning is beneficial to improve the power system’s resilience. To obtain a minimum backbone grid, a mixed integer linear programming (MILP) ...

Mixed-integer linear programming was used with the following decision ... and progress was made in the development of the model. The manager of the assembly plant and the company directors were ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming ... partial assignments of the integer variables of ...

One quantitative metric to evaluate the additional value created by stochastic programming compared with solving the deterministic model at mean value is ... for two-stage and multistage stochastic ...

The model was robust ... strategic decision software was of high cost, hence the development of this software that is flexible and novel to proffer solution to this problem using JAVA programming ...