Abstract: Datasets used in data analysis often contain irrelevant or redundant attributes. These attributes hinder the performance of predictive models. Therefore, an effective preprocessing feature ...

Abstract: This paper focuses on the optimization problem of layout decision making under the background of multiple factors, and constructs and solves a mixed integer nonlinear programming model. The ...

Aim to minimize the combined fixed and transportation costs by deciding which of five plants to keep open or what have to close.

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

A new technical paper, “Quantifying the Global Impact of Constraint Programming Based Local Scheduling in Semiconductor Manufacturing,” was published by Infineon and the University of Klagenfurt.