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Path Planning with Compressed All-Pairs Shortest Paths Data

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dc.contributor.authorBotea, Adi
dc.contributor.authorHarabor, Daniel
dc.coverage.spatialRome Italy
dc.date.accessioned2015-12-10T23:20:16Z
dc.date.createdJune 10-14 2013
dc.date.issued2013
dc.date.updated2015-12-10T10:22:01Z
dc.description.abstractAll-pairs shortest paths (APSP) can eliminate the need to search in a graph, providing optimal moves very fast. A major challenge is storing pre-computed APSP data efficiently. Recently, compression has successfully been employed to scale the use of APSP
dc.identifier.isbn9781577356097
dc.identifier.urihttp://hdl.handle.net/1885/66253
dc.publisherAAAI Press
dc.relation.ispartofseries23rd International Conference on Automated Planning and Scheduling (ICAPS 2013)
dc.sourceInternational Conference on Automated Planning & Scheduling
dc.source.urihttp://www.aiconferences.org/ICAPS/2013/icaps13.html
dc.titlePath Planning with Compressed All-Pairs Shortest Paths Data
dc.typeConference paper
local.bibliographicCitation.lastpage5
local.bibliographicCitation.startpage1
local.contributor.affiliationBotea, Adi , College of Engineering and Computer Science, ANU
local.contributor.affiliationHarabor, Daniel, College of Engineering and Computer Science, ANU
local.contributor.authoruidBotea, Adi , u1814829
local.contributor.authoruidHarabor, Daniel, u4272656
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1251
local.identifier.scopusID2-s2.0-84889814188
local.type.statusPublished Version

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