Title : ( A dynamic model to solve fuzzy nonlinear optimization )
Authors: mohammad eshaghnezhad , Freydoon Rahbarnia , Sohrab Effati , Amin Mansoori ,
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Abstract
In the presence research, we are going to obtain the solution of the fuzzy nonlinear programming problems -FNLP-. Our focus on the paper is to give a recurrent neural network model to solve the FNLP. Besides, the global convergence and the Lyapunov stability of system are proved in this research. Finally, a numerical simulation is given to show the performance of the proposed approach
Keywords
, Fuzzy nonlinear programming problems, weighting problem, recurrent neural network, globally convergent, Lyapunov stability.
@inproceedings{paperid:1073005,
author = {Eshaghnezhad, Mohammad and Rahbarnia, Freydoon and Effati, Sohrab and Mansoori, Amin},
title = {A dynamic model to solve fuzzy nonlinear optimization},
booktitle = {دومین سمینار ملی کنترل و بهینه سازی},
year = {2018},
location = {شاهرود, IRAN},
keywords = {Fuzzy nonlinear programming problems; weighting problem; recurrent neural network; globally convergent; Lyapunov stability.},
}
%0 Conference Proceedings
%T A dynamic model to solve fuzzy nonlinear optimization
%A Eshaghnezhad, Mohammad
%A Rahbarnia, Freydoon
%A Effati, Sohrab
%A Mansoori, Amin
%J دومین سمینار ملی کنترل و بهینه سازی
%D 2018
