BoneRoute: An adaptive memory-based method for effective fleet management

Tarantilis, CD; Kiranoudis, CT

dc.contributor.author	Tarantilis, CD	en
dc.contributor.author	Kiranoudis, CT	en
dc.date.accessioned	2014-03-01T02:42:05Z
dc.date.available	2014-03-01T02:42:05Z
dc.date.issued	2002	en
dc.identifier.issn	0254-5330	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30767
dc.subject	Combinatorial optimization	en
dc.subject	Distribution management	en
dc.subject	Metaheuristics	en
dc.subject.classification	Operations Research & Management Science	en
dc.title	BoneRoute: An adaptive memory-based method for effective fleet management	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1023/A:1021157406318	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1021157406318	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	This paper presents an adaptive memory-based method for solving the Capacitated Vehicle Routing Problem (CVRP), called BoneRoute. The CVRP deals with the problem of finding the optimal sequence of deliveries conducted by a fleet of homogeneous vehicles, based at one depot, to serve a set of customers. The computational performance of the BoneRoute was found to be very efficient, producing high quality solutions over two sets of well known case studies examined.	en
heal.publisher	KLUWER ACADEMIC PUBL	en
heal.journalName	Annals of Operations Research	en
dc.identifier.doi	10.1023/A:1021157406318	en
dc.identifier.isi	ISI:000179322100012	en
dc.identifier.volume	115	en
dc.identifier.issue	1-4	en
dc.identifier.spage	227	en
dc.identifier.epage	241	en