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題名 A Two-Dimensional Genetic Algorithm and Its Application to Aircraft Scheduling Problem
作者 Tsai, Ming-Wen;Hong, Tzung-Pei;Lin, Woo-Tsong
林我聰
貢獻者 資管系
日期 2015-03
上傳時間 15-Jan-2016 15:09:29 (UTC+8)
摘要 Genetic algorithms have become increasingly important for researchers in resolving difficult problems because they can provide feasible solutions in limited time. Using genetic algorithms to solve a problem involves first defining a representation that describes the problem states. Most previous studies have adopted one-dimensional representation. Some real problems are, however, naturally suitable to two-dimensional representation. Therefore, a two-dimensional encoding representation is designed and the traditional genetic algorithm is modified to fit the representation. Particularly, appropriate two-dimensional crossover and mutation operations are proposed to generate candidate chromosomes in the next generations. A two-dimensional repairing mechanism is also developed to adjust infeasible chromosomes to feasible ones. Finally, the proposed approach is used to solve the scheduling problem of assigning aircrafts to a time table in an airline company for demonstrating the effectiveness of the proposed genetic algorithm.
關聯 Mathematical Problems in Engineering, 2015, 1-12
資料類型 article
DOI http://dx.doi.org/10.1155/2015/906305
dc.contributor 資管系
dc.creator (作者) Tsai, Ming-Wen;Hong, Tzung-Pei;Lin, Woo-Tsong
dc.creator (作者) 林我聰zh_TW
dc.date (日期) 2015-03
dc.date.accessioned 15-Jan-2016 15:09:29 (UTC+8)-
dc.date.available 15-Jan-2016 15:09:29 (UTC+8)-
dc.date.issued (上傳時間) 15-Jan-2016 15:09:29 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/80616-
dc.description.abstract (摘要) Genetic algorithms have become increasingly important for researchers in resolving difficult problems because they can provide feasible solutions in limited time. Using genetic algorithms to solve a problem involves first defining a representation that describes the problem states. Most previous studies have adopted one-dimensional representation. Some real problems are, however, naturally suitable to two-dimensional representation. Therefore, a two-dimensional encoding representation is designed and the traditional genetic algorithm is modified to fit the representation. Particularly, appropriate two-dimensional crossover and mutation operations are proposed to generate candidate chromosomes in the next generations. A two-dimensional repairing mechanism is also developed to adjust infeasible chromosomes to feasible ones. Finally, the proposed approach is used to solve the scheduling problem of assigning aircrafts to a time table in an airline company for demonstrating the effectiveness of the proposed genetic algorithm.
dc.format.extent 537859 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Mathematical Problems in Engineering, 2015, 1-12
dc.title (題名) A Two-Dimensional Genetic Algorithm and Its Application to Aircraft Scheduling Problem
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1155/2015/906305
dc.doi.uri (DOI) http://dx.doi.org/10.1155/2015/906305