{"title":"基于多目标粒子群算法的饲料配方优化方法","authors":"Ji-xin Zhang, Gao-ping Wang","doi":"10.1109/IWISA.2010.5473663","DOIUrl":null,"url":null,"abstract":"In this paper, we set a multi-objective mathematical model for feed formula optimal problem, propose a new MOPSO-based feed formula optimal method. A global selection method of particle and a dominance-principle are presented. Simulation results show that the new algorithm can give us more satisfactory results and a set of solution. A new method for solving complicated problem about feed formula optimization is provided.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"891 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Feed Formula Optimization Method Based on Multi-Objective Particle Swarm Optimization Algorithm\",\"authors\":\"Ji-xin Zhang, Gao-ping Wang\",\"doi\":\"10.1109/IWISA.2010.5473663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we set a multi-objective mathematical model for feed formula optimal problem, propose a new MOPSO-based feed formula optimal method. A global selection method of particle and a dominance-principle are presented. Simulation results show that the new algorithm can give us more satisfactory results and a set of solution. A new method for solving complicated problem about feed formula optimization is provided.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"891 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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.2010.5473663\",\"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.2010.5473663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Feed Formula Optimization Method Based on Multi-Objective Particle Swarm Optimization Algorithm
In this paper, we set a multi-objective mathematical model for feed formula optimal problem, propose a new MOPSO-based feed formula optimal method. A global selection method of particle and a dominance-principle are presented. Simulation results show that the new algorithm can give us more satisfactory results and a set of solution. A new method for solving complicated problem about feed formula optimization is provided.
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