most citedA hybrid deep-learning-metaheuristic framework for bi-level network design problems

13 citations · 13 across the 1 of their papers we have counts for

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cs.NE2023★ 13 cited

A hybrid deep-learning-metaheuristic framework for bi-level network design problems

Bahman Madadi, Goncalo Homem de Almeida Correia

This study proposes a hybrid deep-learning-metaheuristic framework with a bi-level architecture for road network design problems (NDPs). We train a graph neural network (GNN) to ap…