A projection-based recurrent neural network and its application in solving convex quadratic bilevel optimization problems-Reference-Cited by-同舟云学术

A projection-based recurrent neural network and its application in solving convex quadratic bilevel optimization problems

Published:2019-08-01 Issue:8 Volume:32 Page:3887-3900
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Golbabai Ahmad,Ezazipour Soraya

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04391-7.pdf

Reference44 articles.

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3. Telles E, Lima DA, Contreras J, Alguacil N (2017) A new transmission tariff allocation model based on bilevel programming. IEEE Trans Power Syst 32(3):2204–2213

4. Dempe S, Kalashnikov V, Perez-Valdes GA, Kalashnykov N (2015) Bilevel programming problems: theory, algorithms and applications to energy networks, 1st edn. Springer, Berlin

5. Dempe S, Franke S (2016) On the solution of convex bilevel optimization problems. Comput Optim Appl 63:685–703

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