Residential College | false |
Status | 已發表Published |
Air Cargo Scheduling using Genetic Algorithms | |
Simon Fong1; Miguel Gomes Da Costa Junior1; Richard Khoury2 | |
2014-01-27 | |
Conference Name | 2013 International Symposium on Computational and Business Intelligence (ISCBI) |
Source Publication | Proceedings of 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013 |
Pages | 170-173 |
Conference Date | 24-26 Aug. 2013 |
Conference Place | New Delhi, India |
Publisher | IEEE, 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. |
Keyword | Genetic Algorithms Scheduling |
DOI | 10.1109/ISCBI.2013.41 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS ID | WOS:000350145100035 |
Scopus ID | 2-s2.0-84894458005 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Simon Fong |
Affiliation | 1.Department of Computer and Information Science, University of Macau, Macau, China 2.Department of Software Engineering, Lakehead University, Thunder Bay, Canada |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University 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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