An iterated local search with guided perturbation for the heterogeneous fleet vehicle routing problem with time windows and three-dimensional loading constraints

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Turky, Ayad ORCID logoORCID: https://orcid.org/0000-0001-8415-7328, Moser, I and Aleti, A (2017) An iterated local search with guided perturbation for the heterogeneous fleet vehicle routing problem with time windows and three-dimensional loading constraints. In: Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2017), 31 Jan 2017 - 2 Feb 2017, Geelong, Australia.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/42928
DOI 10.1007/978-3-319-51691-2_24
Official URL https://link.springer.com/chapter/10.1007%2F978-3-...
ISBN 9783319516905
Subjects Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > Division/Research > College of Science and Engineering
Keywords route optimisation; ILS algorithm; logistics; heuristics; feasibility; iteration
Citations in Scopus 5 - View on Scopus
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