A Dual Recurrent Neural Network-based Hybrid Approach for Solving Convex Quadratic Bi-Level Programming Problem

•A novel NN-based hybrid method for solving quadratic-BLPPs is presented.•Proposed algorithm combines GA (handles upper-level problem) and DRNN (for lower-level decision problem).•GA solves the upper-level decision problem by choosing candidate solutions and passing them to the lower-level.•Paramete...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 407; S. 136 - 154
Hauptverfasser:	WATADA, Junzo, ROY, Arunava, LI, Jingru, WANG, Bo, WANG, Shuming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 24.09.2020
Schlagworte:	Genetic Algorithm (GA) Hybrid Strategy Quadratic Bi-Level Programming Problem (BLPP) Recurrent Neural Networks (RNN) Recurrent Neural Networks (RNN) Genetic Algorithm (GA) Hybrid Strategy Quadratic Bi-Level Programming Problem (BLPP)
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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