A neural network approach for solving linear bilevel programming problem

2010 ◽  
Vol 23 (3) ◽  
pp. 239-242 ◽  
Author(s):  
Tiesong Hu ◽  
Xuning Guo ◽  
Xiang Fu ◽  
Yibing Lv
Keyword(s):  
Neural Network ◽  
Programming Problem ◽  
Bilevel Programming ◽  
Network Approach ◽  
Bilevel Programming Problem ◽  
Neural Network Approach ◽  
Linear Bilevel Programming

scholarly journals The Backpropagation Artificial Neural Network Based on Elite Particle Swam Optimization Algorithm for Stochastic Linear Bilevel Programming Problem

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Tao Zhang ◽  
Xiaofei Li
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Programming Problem ◽  
Optimization Algorithm ◽  
Bilevel Programming ◽  
Bilevel Programming Problem ◽  
Simulation Experiments ◽  
Linear Bilevel Programming ◽  
Artificial Neural ◽  
Backpropagation Artificial Neural Network

For a class of stochastic linear bilevel programming problem, we firstly transform it into a deterministic linear bilevel covariance programming problem. Then, the deterministic bilevel covariance programming problem is solved by backpropagation artificial neural network based on elite particle swam optimization algorithm (BPANN-PSO). Finally, we perform the simulation experiments and the results show that the computational efficiency of the proposed algorithm has a potential upside compared with the classical algorithm.

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