A Dual Recurrent Neural Network-based Hybrid Approach for Solving Convex Quadratic Bi-Level Programming Problem
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier B.V.
2020
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| 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/ |
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