{"title":"基于遗传规划的水库运行函数优化模型","authors":"Xiaomin Zhou, Xian-Jia Wang, Zhongyun Zhu","doi":"10.1109/ICMLC.2002.1167497","DOIUrl":null,"url":null,"abstract":"The function of reservoir operation is generally obtained by using the statistic analysis tools. This paper introduces genetic programming based on the statistic analysis tools, the genetic programming way changes the randomness due to utilizing the statistic analysis tools to search the best function of reservoir operation, then a case study illustrates that the method is effective and available in optimizing the function of reservoir operation.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"7 1","pages":"1669-1672 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The model of optimizing the function of reservoir operation based on genetic programming\",\"authors\":\"Xiaomin Zhou, Xian-Jia Wang, Zhongyun Zhu\",\"doi\":\"10.1109/ICMLC.2002.1167497\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The function of reservoir operation is generally obtained by using the statistic analysis tools. This paper introduces genetic programming based on the statistic analysis tools, the genetic programming way changes the randomness due to utilizing the statistic analysis tools to search the best function of reservoir operation, then a case study illustrates that the method is effective and available in optimizing the function of reservoir operation.\",\"PeriodicalId\":90702,\"journal\":{\"name\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"volume\":\"7 1\",\"pages\":\"1669-1672 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2002.1167497\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1167497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The model of optimizing the function of reservoir operation based on genetic programming
The function of reservoir operation is generally obtained by using the statistic analysis tools. This paper introduces genetic programming based on the statistic analysis tools, the genetic programming way changes the randomness due to utilizing the statistic analysis tools to search the best function of reservoir operation, then a case study illustrates that the method is effective and available in optimizing the function of reservoir operation.
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