{"title":"基于遗传算法的机场出租车调度优化","authors":"Changyou Liu, K. Guo","doi":"10.1109/CIS.2010.50","DOIUrl":null,"url":null,"abstract":"The increasing development of civil aviation transportation has caused serious congestion, which often results in low efficiency and potential risks of airport surface traffic system. In this paper, a new genetic encoding method different from previous ones is presented to solve the aircraft safe taxiing problems based on an optimization model with three types of conflict restrictions. The simulations are made by using the realistic data of the Chengdu Shuangliu airport and an illustrative example is given to show the validity of our approach by comparison with shortest path algorithm without safety constraint condition.","PeriodicalId":420515,"journal":{"name":"2010 International Conference on Computational Intelligence and Security","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Airport Taxi Scheduling Optimization Based on Genetic Algorithm\",\"authors\":\"Changyou Liu, K. Guo\",\"doi\":\"10.1109/CIS.2010.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing development of civil aviation transportation has caused serious congestion, which often results in low efficiency and potential risks of airport surface traffic system. In this paper, a new genetic encoding method different from previous ones is presented to solve the aircraft safe taxiing problems based on an optimization model with three types of conflict restrictions. The simulations are made by using the realistic data of the Chengdu Shuangliu airport and an illustrative example is given to show the validity of our approach by comparison with shortest path algorithm without safety constraint condition.\",\"PeriodicalId\":420515,\"journal\":{\"name\":\"2010 International Conference on Computational Intelligence and Security\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Computational Intelligence and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2010.50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2010.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Airport Taxi Scheduling Optimization Based on Genetic Algorithm
The increasing development of civil aviation transportation has caused serious congestion, which often results in low efficiency and potential risks of airport surface traffic system. In this paper, a new genetic encoding method different from previous ones is presented to solve the aircraft safe taxiing problems based on an optimization model with three types of conflict restrictions. The simulations are made by using the realistic data of the Chengdu Shuangliu airport and an illustrative example is given to show the validity of our approach by comparison with shortest path algorithm without safety constraint condition.
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