Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

A path-generation matheuristic for large scale evacuation planning

Simple item page
dc.contributor.authorPillac, Victor
dc.contributor.authorVan Hentenryck, Pascal
dc.contributor.authorEven, Caroline
dc.coverage.spatialHamburg Germany
dc.date.accessioned2015-12-13T22:29:14Z
dc.date.createdJune 11-13 2014
dc.date.issued2014
dc.date.updated2015-12-11T08:47:31Z
dc.description.abstractIn this study we present a general matheuristic that decomposes the problem being solved in a master and a subproblem. In contrast with the column generation technique, the proposed approach does not rely on the explicit pricing of new columns but instead exploits features of the incumbent solution to generate one or more columns in the master problem. We apply this approach to large scale evacuation planning, leading to the first scalable algorithm that complies with emergency services practice.
dc.identifier.isbn9783319076430
dc.identifier.urihttp://hdl.handle.net/1885/74598
dc.publisherSpringer Verlag
dc.relation.ispartofseries9th International Workshop on Hybrid Metaheuristics, HM 2014
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.titleA path-generation matheuristic for large scale evacuation planning
dc.typeConference paper
local.bibliographicCitation.lastpage84
local.bibliographicCitation.startpage71
local.contributor.affiliationPillac, Victor, NICTA
local.contributor.affiliationVan Hentenryck, Pascal, College of Engineering and Computer Science, ANU
local.contributor.affiliationEven, Caroline, NICTA
local.contributor.authoruidVan Hentenryck, Pascal, u5136864
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080200 - COMPUTATION THEORY AND MATHEMATICS
local.identifier.ariespublicationU3488905xPUB4201
local.identifier.doi10.1007/978-3-319-07644-7_6
local.identifier.scopusID2-s2.0-84903641117
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Pillac_A_path-generation_matheuristic_2014.pdf
Size:
284.83 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS