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Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
[article]
2020
arXiv
pre-print
This paper presents a novel neural network design that learns the heuristic for Large Neighborhood Search (LNS). LNS consists of a destroy operator and a repair operator that specify a way to carry out the neighborhood search to solve the Combinatorial Optimization problems. The proposed approach in this paper applies a Hierarchical Recurrent Graph Convolutional Network (HRGCN) as a LNS heuristic, namely Dynamic Partial Removal, with the advantage of adaptive destruction and the potential to
arXiv:2005.09330v1
fatcat:fa33rentqra5dbpezd2mptyymu