DC FieldValueLanguage
dc.contributor.authorGiovanis, Apostolos-
dc.contributor.authorSkiadas, Christos-
dc.date.accessioned2024-06-07T11:15:08Z-
dc.date.available2024-06-07T11:15:08Z-
dc.date.issued1999-
dc.identifiergoogle_scholar-In1YXmwAAAAJ:W7OEmFMy1HYC-
dc.identifier.issn0867-6356-
dc.identifier.otherIn1YXmwAAAAJ:W7OEmFMy1HYC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2506-
dc.description.abstractThis paper implementations of parallel Tabu Search algorithms for solving the problem of scheduling nonpreemtable, independent jobs on parallel, identical machines to minimize the makespan are presented. F our different types of parallel Tabu Search based on Michael J. Flynn , s computer architectural classification scheme are considered. A computational experiment is described performed in two different parallel computer architectures: multiprocessor scalar system with shared memory and scalable supercomputing system with distributed memory .A comparison of results obtained for sequential versions of the algorithm as well as parallel ones in both the architectures is presented. Some conclusions and final remarks are included.en_US
dc.language.isoenen_US
dc.relation.ispartofFoundations of Computing and Decision Sciencesen_US
dc.sourceFoundations of Computing and Decision Sciences 24 (3), 141-152, 1999-
dc.titleThe method of local linearization for the solution of stochastic innovation diffusion modelsen_US
dc.typeArticleen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume24en_US
dc.relation.issue3en_US
dc.identifier.spage141en_US
dc.identifier.epage152en_US
dc.linkhttps://www.infona.pl/resource/bwmeta1.element.baztech-article-BPP1-0011-0090en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-1028-146X-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Articles / Άρθρα
CORE Recommender
Show simple item record

Page view(s)

21
checked on Nov 23, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.