The proposed multiyear robust GEP methodology, as a tractable mixed integer linear programming optimization problem, copes with the inherent planning uncertainties associated with forecasted ...

This paper presents a novel mixed-integer linear programming (MILP) model for the electric vehicle charging coordination (EVCC) problem in unbalanced electrical distribution systems (EDSs).

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

Explore how Sui’s object-centric model and Move programming language improve blockchain scalability and security compared to traditional blockchain models.

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.

Though I did find it fascinating to learn to think the way computers do, there seemed to be something fundamentally backward about programming a computer that I just couldn’t get over: Wasn’t ...

The algorithmic procedure then derives the optimal solution of the resulting multiparametric mixed-integer linear programming problem as an affine function of the ϵ parameters, which explicitly ...

Based on the mixed-integer linear programming model, we will give a linear programming model which takes into account the mean value of the distance between all classes and maximizes the minimum ...