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A Genetic Algorithm Approach for Minimizing Total Tardiness in Parallel Machine Scheduling Problems

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dc.contributor.authorDemirel, Tufan
dc.contributor.authorOzkir, Vildan
dc.contributor.authorDemirel, Nihan Cetin
dc.contributor.authorTasdelen, Belgin
dc.contributor.institutionauthorDEMİREL, Tufan
dc.contributor.institutionauthorÖZKIR, Vildan
dc.date.accessioned2026-06-27T13:14:12Z
dc.date.issued2011
dc.description.abstractThis study investigates parallel machine scheduling problem in order to minimize total tardiness and we developed a genetic algorithm solution procedure for such problems. Also, using problem specific knowledge, an efficient solution improvement scheme and an appropriate crossover operator are developed and integrated into the genetic algorithm.en
dc.identifier.endpage1193
dc.identifier.isbn978-988-19251-4-5
dc.identifier.issn2078-0958
dc.identifier.startpage1190
dc.identifier.urihttps://hdl.handle.net/20.500.14981/50869
dc.identifier.wos000393012800052
dc.language.isoeng
dc.publisherINT ASSOC ENGINEERS-IAENG
dc.relation.conferenceWorld Congress on Engineering (WCE 2011)
dc.relation.ispartofWORLD CONGRESS ON ENGINEERING, WCE 2011, VOL II
dc.subjectGenetic algorithms
dc.subjectScheduling
dc.subjectParallel Machines
dc.subjectTotal Tardiness
dc.subjectINCOMPATIBLE JOB FAMILIES
dc.subjectWEIGHTED TARDINESS
dc.subjectBATCH MACHINES
dc.subjectHEURISTICS
dc.subjectFLOWSHOP
dc.subjectSOLVE
dc.subjectComputer Science
dc.subjectEngineering
dc.titleA Genetic Algorithm Approach for Minimizing Total Tardiness in Parallel Machine Scheduling Problems
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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