An Augmented Lagrangian Neural Network for the Fixed-Time Solution of Linear Programming

2018 ◽  
Author(s):  
Dayanna T. Toro ◽  
Jose M. Lozano ◽  
Juan Diego Sanchez-Torres
Keyword(s):  
Neural Network ◽  
Linear Programming ◽  
Augmented Lagrangian ◽  
Fixed Time ◽  
Time Solution

A fixed time convergent dynamical system to solve linear programming

2014 ◽  
Author(s):  
Juan Diego Sanchez-Torres ◽  
Martin J. Loza-Lopez ◽  
Riemann Ruiz-Cruz ◽  
Edgar N. Sanchez ◽  
Alexander G. Loukianov
Keyword(s):  
Dynamical System ◽  
Linear Programming ◽  
Fixed Time

scholarly journals Assignment model with multi-objective linear programming for allocating choice ranking using recurrent neural network

2021 ◽  
Author(s):  
Zahra Sadat Mirzazadeh ◽  
Javad Banihassan ◽  
Amin Mansoori
Keyword(s):  
Neural Network ◽  
Linear Programming ◽  
Recurrent Neural Network ◽  
Absolute Priority ◽  
Multi Objective ◽  
Assignment Method ◽  
Assignment Model ◽  
Decision Attributes ◽  
Linear Programming Problems ◽  
Linear Assignment

Classic linear assignment method is a multi-criteria decision-making approach in which criteria are weighted and each rank is assigned to a choice. In this study, to abandon the requirement of calculating the weight of criteria and use decision attributes prioritizing and also to be able to assign a rank to more than one choice, a multi-objective linear programming (MOLP) method is suggested. The objective function of MOLP is defined for each attribute and MOLP is solved based on absolute priority and comprehensive criteria methods. For solving the linear programming problems we apply a recurrent neural network (RNN). Indeed, the Lyapunov stability of the model is proved. Results of comparing the proposed method with TOPSIS, VICOR, and MOORA methods which are the most common multi-criteria decision schemes show that the proposed approach is more compatible with these methods.

scholarly journals V-bar and R-bar Glideslope Guidance Algorithms for Fixed-Time Rendezvous: A Linear Programming Approach

2016 ◽  
Vol 49 (17) ◽  
pp. 385-390 ◽  
Author(s):  
Yassine Ariba ◽  
Denis Arzelier ◽  
Laura Sofia Urbina ◽  
Christophe Louembet
Keyword(s):  
Linear Programming ◽  
Fixed Time ◽  
Programming Approach ◽  
Linear Programming Approach
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