The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

The size and complexity of energy system optimization models have increased significantly in recent years, driven by the availability of high-resolution spatial data. We present complexity reduction ...

School lunches: 7/10 Because with the new stats, the new meals, and the new feedback, that is a good example of a problem solved.

A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed integer linear ...

Reprint: R0411J In the classroom, activity-based costing (ABC) looks like a great way to manage a company’s limited resources. But executives who have tried to implement ABC in their ...

Choosing the right method for robust and non-linear PCA and FA depends on several factors, such as the type and amount of outliers and noise, the degree and form of non-linearity, the number and ...

This results in a # less sparse model than a pure :class:`~sklearn.linear_model.Lasso` and may # capture non-predictive features as well. # # :class:`~sklearn.linear_model.ARDRegression` is better ...

Echtzeitsysteme / gips Star 4 Code Issues Pull requests Graph-Based (M)ILP Problem Specification Tool simulation emf pattern-matching model modeling gips ilp gt emoflon virtual-network-embedding pm ...