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 |
0957-4174 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/19305 |
|
dc.subject |
Deliveries pick-ups |
en |
dc.subject |
Guided local search |
en |
dc.subject |
Metaheuristics |
en |
dc.subject |
Simultaneous |
en |
dc.subject |
Tabu search |
en |
dc.subject |
Vehicle routing |
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 |
Benchmarking |
en |
dc.subject.other |
Combinatorial mathematics |
en |
dc.subject.other |
Combinatorial optimization |
en |
dc.subject.other |
Customer satisfaction |
en |
dc.subject.other |
Heuristic methods |
en |
dc.subject.other |
Network routing |
en |
dc.subject.other |
Nuclear propulsion |
en |
dc.subject.other |
Online searching |
en |
dc.subject.other |
Packet networks |
en |
dc.subject.other |
Routing algorithms |
en |
dc.subject.other |
Sales |
en |
dc.subject.other |
Solutions |
en |
dc.subject.other |
Tabu search |
en |
dc.subject.other |
Vehicle routing |
en |
dc.subject.other |
Best solutions |
en |
dc.subject.other |
Combinatorial optimization problems |
en |
dc.subject.other |
Deliveries pick-ups |
en |
dc.subject.other |
Exact methods |
en |
dc.subject.other |
Guided local search |
en |
dc.subject.other |
Guided local searches |
en |
dc.subject.other |
High qualities |
en |
dc.subject.other |
Hybrid solutions |
en |
dc.subject.other |
Metaheuristic algorithms |
en |
dc.subject.other |
Metaheuristics |
en |
dc.subject.other |
NP-hard |
en |
dc.subject.other |
Optimal sets |
en |
dc.subject.other |
Routing problems |
en |
dc.subject.other |
Search spaces |
en |
dc.subject.other |
Simultaneous |
en |
dc.subject.other |
VEHICLE ROUTING problems |
en |
dc.subject.other |
Problem solving |
en |
dc.title |
A hybrid metaheuristic algorithm for the vehicle routing problem with simultaneous delivery and pick-up service |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.eswa.2007.11.005 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.eswa.2007.11.005 |
en |
heal.language |
English |
en |
heal.publicationDate |
2009 |
en |
heal.abstract |
This article addresses a vehicle routing problem variant which considers customers to require simultaneous delivery and pick-Lip service (VRPSPD). The objective of this problem is to determine the optimal set of routes to totally satisfy both the delivery and pick-up demand of the customer population. VRPSPD is an NP-hard combinatorial optimization problem; therefore exact methods are incapable of dealing with large scale VRPSPD instances arising in a wide variety of practical operations. We propose a hybrid solution approach incorporating the rationale of two well-known metaheuristics which have proven to be effective for routing problem variants, namely tabu search and guided local search. The intelligence of the proposed hybrid was designed to achieve a vast exploration of the search space, by escaping from local optima and intensifying at promising solution regions. The performance of our metaheuristic algorithm was tested on benchmark instances involving from 50 to 400 Customers. It produced high quality results, improving several best solutions previously reported. (C) 2007 Elsevier Ltd. All rights reserved. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
Expert Systems with Applications |
en |
dc.identifier.doi |
10.1016/j.eswa.2007.11.005 |
en |
dc.identifier.isi |
ISI:000262178000011 |
en |
dc.identifier.volume |
36 |
en |
dc.identifier.issue |
2 PART 1 |
en |
dc.identifier.spage |
1070 |
en |
dc.identifier.epage |
1081 |
en |