RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM

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Main Author: unknown (author)
Format: masterThesis
Published: 2020
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Online Access:https://eprints.kfupm.edu.sa/id/eprint/138698/1/Thesis.pdf
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author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/138698/1/Thesis.pdf
RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM. Masters thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/138698/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Management and Marketing
Construction
Civil Engineering
Engineering
Research
dc.title.none.fl_str_mv RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_9b3153a5fd7cd57c091c44819c3ae29f
identifier_str_mv RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM. Masters thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::138698
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHMManagement and MarketingConstructionCivil EngineeringEngineeringResearchThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/138698/1/Thesis.pdf RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/138698/2020info:eu-repo/semantics/openAccessunknownoai::1386982019-11-01T15:35:47Z
spellingShingle RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
unknown
Management and Marketing
Construction
Civil Engineering
Engineering
Research
status_str publishedVersion
title RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
title_full RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
title_fullStr RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
title_full_unstemmed RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
title_short RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
title_sort RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM
topic Management and Marketing
Construction
Civil Engineering
Engineering
Research
url https://eprints.kfupm.edu.sa/id/eprint/138698/1/Thesis.pdf