An effective local search approach for the Vehicle Routing Problem with Backhauls

Zachariadis, EE; Kiranoudis, CT

dc.contributor.author	Zachariadis, EE	en
dc.contributor.author	Kiranoudis, CT	en
dc.date.accessioned	2014-03-01T02:04:24Z
dc.date.available	2014-03-01T02:04:24Z
dc.date.issued	2011	en
dc.identifier.issn	0957-4174	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29428
dc.subject	Metaheuristics	en
dc.subject	Vehicle routing	en
dc.subject	Backhauls	en
dc.subject	Computational complexity	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	ALGORITHM	en
dc.title	An effective local search approach for the Vehicle Routing Problem with Backhauls	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	This paper deals with a practical transportation model known as the Vehicle Routing Problem with Backhauls (VRPB), which aims at designing the minimum cost route set for satisfying both delivery and pick-up demands. In methodological terms, we propose a local search metaheuristic which explores rich solution neighborhoods composed of exchanges of variable-length customer sequences. To efficiently investigate these rich solution neighborhoods, tentative local search move are statically encoded by data structures stored in Fibonacci Heaps which are special priority queue structures offering fast minimum retrieval, insertion and deletion capabilities. To avoid cycling phenomena and induce diversification, we introduce the concept of promises, which is a parameter-free mechanism based on the regional aspiration criterion used in Tabu Search implementations. The proposed metaheuristic development was tested on well-known VRPB benchmark instances. It exhibited fine performance, as it consistently generated the best-known solutions for all the examined benchmark problems. (C) 2011 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	EXPERT SYSTEMS WITH APPLICATIONS	en
dc.identifier.isi	ISI:000297823300100	en
dc.identifier.volume	39	en
dc.identifier.issue	3	en
dc.identifier.spage	3174	en
dc.identifier.epage	3184	en