{"title":"基于粒子群优化算法的水资源规划分析","authors":"Li Yu, Jia-Quan Wang","doi":"10.1109/IWISA.2010.5473401","DOIUrl":null,"url":null,"abstract":"Particle swarm optimization algorithm has been widely used because of its advantages such as simple principle, easy to programming, suitable for parallel computing and others. Calculation example shows that particle swarm optimization can be well used to solve optimal allocation of water resources, availability and better than the dynamic programming algorithm accuracy.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Water Resources Planning Based on Particle Swarm Optimization Algorithm\",\"authors\":\"Li Yu, Jia-Quan Wang\",\"doi\":\"10.1109/IWISA.2010.5473401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Particle swarm optimization algorithm has been widely used because of its advantages such as simple principle, easy to programming, suitable for parallel computing and others. Calculation example shows that particle swarm optimization can be well used to solve optimal allocation of water resources, availability and better than the dynamic programming algorithm accuracy.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473401\",\"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 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Water Resources Planning Based on Particle Swarm Optimization Algorithm
Particle swarm optimization algorithm has been widely used because of its advantages such as simple principle, easy to programming, suitable for parallel computing and others. Calculation example shows that particle swarm optimization can be well used to solve optimal allocation of water resources, availability and better than the dynamic programming algorithm accuracy.
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