Deep learning for bipartite assignment problems
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Gibbons, D, Lim, CC and Shi, Peng ORCID: 0000-0001-8218-586X (external link) (2019) Deep learning for bipartite assignment problems. In: 2019 IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2019), 6 Oct 2019 - 9 Oct 2019.
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Item type | Conference or Workshop Item (Paper) |
URI | https://vuir.vu.edu.au/id/eprint/41829 |
DOI | 10.1109/SMC.2019.8914228 (external link) |
Official URL | https://ieeexplore.ieee.org/document/8914415 (external link) |
ISBN | 9781728145693 (online) 9781728145709 (print) |
Subjects | Historical > FOR Classification > 0906 Electrical and Electronic Engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | deep learning; heuristics; weapon-target assignment problem; black box solver; deep neural networks |
Citations in Scopus | 4 - View on Scopus (external link) |
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