dc.contributor.author |
Zachariadis, EE |
en |
dc.contributor.author |
Tarantilis, CD |
en |
dc.contributor.author |
Kiranoudis, CT |
en |
dc.date.accessioned |
2014-03-01T01:29:33Z |
|
dc.date.available |
2014-03-01T01:29:33Z |
|
dc.date.issued |
2009 |
en |
dc.identifier.issn |
0377-2217 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/19302 |
|
dc.subject |
Guided Local Search |
en |
dc.subject |
Loading constraints |
en |
dc.subject |
Tabu Search |
en |
dc.subject |
Vehicle routing |
en |
dc.subject.classification |
Management |
en |
dc.subject.classification |
Operations Research & Management Science |
en |
dc.subject.other |
Data storage equipment |
en |
dc.subject.other |
Heuristic methods |
en |
dc.subject.other |
Loading |
en |
dc.subject.other |
Network routing |
en |
dc.subject.other |
Online searching |
en |
dc.subject.other |
Packet networks |
en |
dc.subject.other |
Routing algorithms |
en |
dc.subject.other |
Tabu search |
en |
dc.subject.other |
Two dimensional |
en |
dc.subject.other |
Vehicles |
en |
dc.subject.other |
Algorithmic parameters |
en |
dc.subject.other |
Best solutions |
en |
dc.subject.other |
Capacitated vehicle routing problems |
en |
dc.subject.other |
Customer demands |
en |
dc.subject.other |
Generalisation |
en |
dc.subject.other |
Guided Local Search |
en |
dc.subject.other |
Guided local searches |
en |
dc.subject.other |
Loading constraints |
en |
dc.subject.other |
Loading surfaces |
en |
dc.subject.other |
Memory structures |
en |
dc.subject.other |
Metaheuristic |
en |
dc.subject.other |
Metaheuristic algorithms |
en |
dc.subject.other |
Minimum costs |
en |
dc.subject.other |
Search processes |
en |
dc.subject.other |
VEHICLE ROUTING problems |
en |
dc.subject.other |
Vehicle routing |
en |
dc.title |
A Guided Tabu Search for the Vehicle Routing Problem with two-dimensional loading constraints |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.ejor.2007.05.058 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.ejor.2007.05.058 |
en |
heal.language |
English |
en |
heal.publicationDate |
2009 |
en |
heal.abstract |
We present a metaheuristic methodology for the Capacitated Vehicle Routing Problem with two-dimensional loading constraints (2L-CVRP). 2L-CVRP is a generalisation of the Capacitated Vehicle Routing Problem, in which customer demand is formed by a set of two-dimensional, rectangular, weighted items. The purpose of this problem is to produce the minimum cost routes, starting and terminating at a central depot, to satisfy the customer demand. Furthermore, the transported items must be feasibly packed into the loading surfaces of the vehicles. We propose a metaheuristic algorithm which incorporates the rationale of Tabu Search and Guided Local Search. The loading aspects of the problem are tackled using a collection of packing heuristics. To accelerate the search process, we reduce the neighbourhoods explored, and employ a memory structure to record the loading feasibility information. Extensive experiments were conducted to calibrate the algorithmic parameters. The effectiveness of the proposed metaheuristic algorithm was tested on benchmark instances and led to several new best solutions. (C) 2007 Elsevier B.V. All rights reserved. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
European Journal of Operational Research |
en |
dc.identifier.doi |
10.1016/j.ejor.2007.05.058 |
en |
dc.identifier.isi |
ISI:000261941400009 |
en |
dc.identifier.volume |
195 |
en |
dc.identifier.issue |
3 |
en |
dc.identifier.spage |
729 |
en |
dc.identifier.epage |
743 |
en |