{"title":"基于遗传算法的项目调度","authors":"Ji Ma","doi":"10.1109/GRC.2009.5255082","DOIUrl":null,"url":null,"abstract":"Genetic algorithms have been applied in various application domains and research fields related to biology, chemistry, especially computer science and engineering. In this paper, we will discuss the applications of generic algorithms in project scheduling. The problem is described, the algorithm is outlined, and the strengths and weaknesses are compared. Finally, the future trends in this direction are predicted.","PeriodicalId":388774,"journal":{"name":"2009 IEEE International Conference on Granular Computing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Project scheduling based on genetic algorithm\",\"authors\":\"Ji Ma\",\"doi\":\"10.1109/GRC.2009.5255082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genetic algorithms have been applied in various application domains and research fields related to biology, chemistry, especially computer science and engineering. In this paper, we will discuss the applications of generic algorithms in project scheduling. The problem is described, the algorithm is outlined, and the strengths and weaknesses are compared. Finally, the future trends in this direction are predicted.\",\"PeriodicalId\":388774,\"journal\":{\"name\":\"2009 IEEE International Conference on Granular Computing\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GRC.2009.5255082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRC.2009.5255082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithms have been applied in various application domains and research fields related to biology, chemistry, especially computer science and engineering. In this paper, we will discuss the applications of generic algorithms in project scheduling. The problem is described, the algorithm is outlined, and the strengths and weaknesses are compared. Finally, the future trends in this direction are predicted.
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