Gamal Abd El-Nasser A. Said, El-Sayed M. El-Horbaty
{"title":"港口存储空间分配的智能优化方法:一个案例研究","authors":"Gamal Abd El-Nasser A. Said, El-Sayed M. El-Horbaty","doi":"10.1109/INTELCIS.2015.7397198","DOIUrl":null,"url":null,"abstract":"Storage space allocation problem at container terminals is NP-hard combinatorial optimization problem. This paper proposes a new approach based on genetic algorithm to optimize the solution for storage space allocation problem in container terminal at seaports. A new mathematical model is formulated to avoid bottlenecks in container yard operations, and to minimize vessels service time in port. Also, a simulation model using discrete event simulation tool is conducted to optimize the solution for storage space allocation problem is presented in this study. The proposed approach is applied on a real case study data of container terminal at Damietta port. The computational results show the effectiveness of the proposed approach.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An intelligent optimization approach for storage space allocation at seaports: A case study\",\"authors\":\"Gamal Abd El-Nasser A. Said, El-Sayed M. El-Horbaty\",\"doi\":\"10.1109/INTELCIS.2015.7397198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Storage space allocation problem at container terminals is NP-hard combinatorial optimization problem. This paper proposes a new approach based on genetic algorithm to optimize the solution for storage space allocation problem in container terminal at seaports. A new mathematical model is formulated to avoid bottlenecks in container yard operations, and to minimize vessels service time in port. Also, a simulation model using discrete event simulation tool is conducted to optimize the solution for storage space allocation problem is presented in this study. The proposed approach is applied on a real case study data of container terminal at Damietta port. The computational results show the effectiveness of the proposed approach.\",\"PeriodicalId\":6478,\"journal\":{\"name\":\"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTELCIS.2015.7397198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTELCIS.2015.7397198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An intelligent optimization approach for storage space allocation at seaports: A case study
Storage space allocation problem at container terminals is NP-hard combinatorial optimization problem. This paper proposes a new approach based on genetic algorithm to optimize the solution for storage space allocation problem in container terminal at seaports. A new mathematical model is formulated to avoid bottlenecks in container yard operations, and to minimize vessels service time in port. Also, a simulation model using discrete event simulation tool is conducted to optimize the solution for storage space allocation problem is presented in this study. The proposed approach is applied on a real case study data of container terminal at Damietta port. The computational results show the effectiveness of the proposed approach.