基于中心力优化的水资源优化配置

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI:10.1109/CIS.2017.00143

Jie Liu, Fei Liang

{"title":"基于中心力优化的水资源优化配置","authors":"Jie Liu, Fei Liang","doi":"10.1109/CIS.2017.00143","DOIUrl":null,"url":null,"abstract":"In this paper, a global optimization model of water resources allocation is proposed combined with the South - to - North water diversion in Jiangsu Province. A new evolutionary algorithm - CFO - is applied to solve this problems. Finally, the method of theory - model and example analysis are employed. Numerical results show that the mathematical model is reasonable, and the evolutionary algorithm is effective and feasible.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Allocation of Water Resources Based on Central Force Optimization\",\"authors\":\"Jie Liu, Fei Liang\",\"doi\":\"10.1109/CIS.2017.00143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a global optimization model of water resources allocation is proposed combined with the South - to - North water diversion in Jiangsu Province. A new evolutionary algorithm - CFO - is applied to solve this problems. Finally, the method of theory - model and example analysis are employed. Numerical results show that the mathematical model is reasonable, and the evolutionary algorithm is effective and feasible.\",\"PeriodicalId\":304958,\"journal\":{\"name\":\"2017 13th International Conference on Computational Intelligence and Security (CIS)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th International Conference on Computational Intelligence and Security (CIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2017.00143\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Computational Intelligence and Security (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2017.00143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文结合江苏省南水北调工程，提出了水资源配置全局优化模型。提出了一种新的进化算法CFO来解决这一问题。最后，采用理论模型分析和实例分析相结合的方法。数值结果表明，数学模型是合理的，进化算法是有效可行的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Optimal Allocation of Water Resources Based on Central Force Optimization

In this paper, a global optimization model of water resources allocation is proposed combined with the South - to - North water diversion in Jiangsu Province. A new evolutionary algorithm - CFO - is applied to solve this problems. Finally, the method of theory - model and example analysis are employed. Numerical results show that the mathematical model is reasonable, and the evolutionary algorithm is effective and feasible.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 13th International Conference on Computational Intelligence and Security (CIS)

自引率

0.00%

发文量