Title : ( A neurodynamic model to solve the maximum flow problem )
Authors: mohammad eshaghnezhad , Sohrab Effati , Freydoon Rahbarnia ,
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Abstract
In the present brief, we are going to obtain the solution of the maximum flow problem (MFP). Here, by reformulating the original problem to a linear optimization problem, the Karush-Kuhn-Tucker (KKT) optimality conditions are suggested as a new strategy for the problem. The KKT conditions are used to propose the RNN model. An illustrative example is given to demonstrate the performance of this approach.
Keywords
, maximum flow problem, Neural Networks
@inproceedings{paperid:1078132,
author = {Eshaghnezhad, Mohammad and Effati, Sohrab and Rahbarnia, Freydoon},
title = {A neurodynamic model to solve the maximum flow problem},
booktitle = {The Third National Seminar on Control and Optimization},
year = {2019},
location = {سبزوار, IRAN},
keywords = {maximum flow problem-Neural Networks},
}
%0 Conference Proceedings
%T A neurodynamic model to solve the maximum flow problem
%A Eshaghnezhad, Mohammad
%A Effati, Sohrab
%A Rahbarnia, Freydoon
%J The Third National Seminar on Control and Optimization
%D 2019
