An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints

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Sabar, Nasser R ORCID: 0000-0002-0276-4704, Bhaskar, Ashish ORCID: 0000-0001-9679-5706, Chung, Edward 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
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