{"type":"ScholarlyArticle","title":"Fleet Design Optimisation from Historical Data Using Constraint Programming and Large Neighbourhood Search","authors":[{"name":"Philip Kilby","slug":"philip-kilby","given":"Philip","family":"Kilby","affiliation":""},{"name":"Tommaso Urli","slug":"tommaso-urli","given":"Tommaso","family":"Urli","affiliation":""}],"abstract":"We present an original approach to compute efficient mid-term fleet configurations at the request of a Queensland-based long-haul trucking carrier. Our approach considers one year's worth of demand data, and employs a constraint programming (CP) model and an adaptive large neighbourhood search (LNS) scheme to solve the underlying multi-day multi-commodity split delivery capacitated vehicle routing problem. This paper is an adaptation of the Best Application Paper at CP'15, published in the Constraints journal with the same title.","doi":null,"url":"https://ijcai.org/proceedings/2016/627","pdf":"https://ijcai.org/proceedings/2016/0627.pdf","markdown":"https://ijcai.org/proceedings/2016/627.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/627","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":627,"pages":{"first":4185,"last":4188},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}