An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints
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Sabar, NR 
ORCID: 0000-0002-0276-4704, Bhaskar, A ORCID: 0000-0001-9679-5706, Chung, E ORCID: 0000-0001-6969-7764, Turky, Ayad ORCID: 0000-0001-8415-7328 and Song, Andy
(2020)
An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints.
Swarm and Evolutionary Computation, 58.
ISSN 2210-6502
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/42954 |
| DOI | 10.1016/j.swevo.2020.100730 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > College of Science and Engineering |
| Keywords | vehicle routes; optimisation problem; meta-heuristic; local search algorithm; 2L-HFVRP |
| Citations in Scopus | 22 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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