Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/65349
DC FieldValue
dc.titleConstruction resource scheduling with genetic algorithms
dc.contributor.authorChan, W.-T.
dc.contributor.authorChua, D.K.H.
dc.contributor.authorKannan, G.
dc.date.accessioned2014-06-17T08:15:48Z
dc.date.available2014-06-17T08:15:48Z
dc.date.issued1996-06
dc.identifier.citationChan, W.-T., Chua, D.K.H., Kannan, G. (1996-06). Construction resource scheduling with genetic algorithms. Journal of Construction Engineering and Management 122 (2) : 125-132. ScholarBank@NUS Repository.
dc.identifier.issn07339364
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/65349
dc.description.abstractA new approach for resource scheduling using genetic algorithms (GAs) is presented here. The methodology does not depend on any set of heuristic rules. Instead, its strength lies in the selection and recom-bination tasks of the GA to learn the domain of the specific project network. By this it is able to evolve improved schedules with respect to the objective function. Further, the model is general enough to encompass both resource leveling and limited resource allocation problems unlike existing methods, which are class-dependent. In this paper, the design and mechanisms of the model are described. Case studies with standard test problems are presented to demonstrate the performance of the GA-scheduler when compared against heuristic methods under various resource availability profiles. Results obtained with the proposed model do not indicate an exponential growth in the computational time required for larger problems.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.sourcetitleJournal of Construction Engineering and Management
dc.description.volume122
dc.description.issue2
dc.description.page125-132
dc.description.codenJCEMD
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

147
checked on Mar 16, 2023

Google ScholarTM

Check


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