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Comparison of genetic algorithm and linear programming approaches for lateral canal scheduling

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dc.contributor.authorRobin Wardlawen_US
dc.contributor.authorKampanad Bhaktikulen_US
dc.contributor.otherUniversity of Edinburghen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-07-24T03:34:59Z
dc.date.available2018-07-24T03:34:59Z
dc.date.issued2004-07-01en_US
dc.description.abstractThe paper discusses a genetic algorithm (GA) developed for solution of two lateral canal scheduling problems presented recently in the literature. The GA formulations use very similar objective functions for both problems. Results obtained with the GA approach are compared with previously published results obtained through linear and integer programming. The GA approach has been demonstrated to be robust and very efficient in application to lateral canal scheduling problems. It is also easily set up and would be easily applied by practitioners. © ASCE.en_US
dc.identifier.citationJournal of Irrigation and Drainage Engineering. Vol.130, No.4 (2004), 311-317en_US
dc.identifier.doi10.1061/(ASCE)0733-9437(2004)130:4(311)en_US
dc.identifier.issn07339437en_US
dc.identifier.other2-s2.0-4143125397en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/21074
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=4143125397&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectEngineeringen_US
dc.subjectEnvironmental Scienceen_US
dc.titleComparison of genetic algorithm and linear programming approaches for lateral canal schedulingen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=4143125397&origin=inwarden_US

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