{"title":"基于多目标遗传算法的膳食营养配方优化","authors":"Qingzhou Zhang, Gaoping Wang","doi":"10.1109/ITIME.2009.5236410","DOIUrl":null,"url":null,"abstract":"The primary idea of Genetic Algorithm (GA) and its general method in solving the problem are introduced. Multi-Objective GA is proposed based on the analysis of such factors as energy, protein, carbohydrate, objective cost, other nutriment, and nutrition quality, the optimization model as well as its algorithm for nutrition meals from which some other problems that need further investigation are also discussed.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization of nutrition prescription for meals based on Multi-Objective GA\",\"authors\":\"Qingzhou Zhang, Gaoping Wang\",\"doi\":\"10.1109/ITIME.2009.5236410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The primary idea of Genetic Algorithm (GA) and its general method in solving the problem are introduced. Multi-Objective GA is proposed based on the analysis of such factors as energy, protein, carbohydrate, objective cost, other nutriment, and nutrition quality, the optimization model as well as its algorithm for nutrition meals from which some other problems that need further investigation are also discussed.\",\"PeriodicalId\":398477,\"journal\":{\"name\":\"2009 IEEE International Symposium on IT in Medicine & Education\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Symposium on IT in Medicine & Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITIME.2009.5236410\",\"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 Symposium on IT in Medicine & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITIME.2009.5236410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of nutrition prescription for meals based on Multi-Objective GA
The primary idea of Genetic Algorithm (GA) and its general method in solving the problem are introduced. Multi-Objective GA is proposed based on the analysis of such factors as energy, protein, carbohydrate, objective cost, other nutriment, and nutrition quality, the optimization model as well as its algorithm for nutrition meals from which some other problems that need further investigation are also discussed.
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