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

• Main Authors: WATADA, J., ROY, A., LI, J., WANG, B., WANG, S.
• Format: Article
• Published: Elsevier B.V. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085470590&doi=10.1016%2fj.neucom.2020.04.013&partnerID=40&md5=1bd461f8f78c0012e83820b90629330b; http://eprints.utp.edu.my/29953/
• Institution: Universiti Teknologi Petronas

The current paper presents a neural network-based hybrid strategy that combines a Genetic Algorithm (GA) and a Dual Recurrent Neural Network (DRNN) for efficiently and accurately solving the quadratic-Bi-level Programming Problem (BLPP). In this model, the GA is used to handle the upper-level decisi...