Predicting the Execution Time of the Primal and Dual Simplex Algorithms Using Artificial Neural Networks

Predicting the Execution Time of the Primal and Dual Simplex Algorithms Using Artificial Neural Networks

Selection of the most efficient algorithm for a given set of linear programming problems has been a significant and, at the same time, challenging process for linear programming solvers. The most widely used linear programming algorithms are the primal simplex algorithm, the dual simplex algorithm,...

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Bibliographic Details
Main Authors: Sophia Voulgaropoulou, Nikolaos Samaras, Nikolaos Ploskas
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Mathematics
Subjects:
linear programming
primal simplex
dual simplex
CPLEX optimizer
artificial neural network
Online Access:https://www.mdpi.com/2227-7390/10/7/1038

Internet

https://www.mdpi.com/2227-7390/10/7/1038

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