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Air Cargo Scheduling using Genetic Algorithms
Simon Fong1; Miguel Gomes Da Costa Junior1; Richard Khoury2
2014-01-27
Conference Name2013 International Symposium on Computational and Business Intelligence (ISCBI)
Source PublicationProceedings of 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013
Pages170-173
Conference Date24-26 Aug. 2013
Conference PlaceNew Delhi, India
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

This project is to optimize the scheduling of the packages within the aircrafts' loading capacities, which are simulated. The optimization criteria are evaluated by customer satisfaction and maximize the usage and profit of the aircrafts. Three algorithms for the batch delivery scheduling problem are developed to find the optimal air cargo shipment. These algorithms are genetic algorithm with earliest due date method, extended due date method and genetic algorithm with extended due date method. The performances of these algorithms are compared to first come first serve and earliest due date scheduling method. The performance of genetic algorithm is analyzed by its fitness function. Air cargos which are handled within Chinese cities is based on flight schedules of nine airline companies including Air Macau, EVA Airways, Cathay Pacific, China Southern Airlines, China Eastern Airlines, Air China, Dragon Air, China Airlines and Mandarin Airlines.

KeywordGenetic Algorithms Scheduling
DOI10.1109/ISCBI.2013.41
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000350145100035
Scopus ID2-s2.0-84894458005
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon Fong
Affiliation1.Department of Computer and Information Science, University of Macau, Macau, China
2.Department of Software Engineering, Lakehead University, Thunder Bay, Canada
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Simon Fong,Miguel Gomes Da Costa Junior,Richard Khoury. Air Cargo Scheduling using Genetic Algorithms[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2014, 170-173.
APA Simon Fong., Miguel Gomes Da Costa Junior., & Richard Khoury (2014). Air Cargo Scheduling using Genetic Algorithms. Proceedings of 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013, 170-173.
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