{"title":"基于进化计算的间歇发酵控制器设计","authors":"A. Riid, E. Rüstern","doi":"10.1145/1456223.1456300","DOIUrl":null,"url":null,"abstract":"In this paper the controllers for the benchmark fed-batch fermentation process are obtained using the method of interactive evolutionary computation (IEC). The results allow us to conclude that IEC is a viable and very effective alternative to existing methods if the eventual solution is expected to be relatively simple (so it can be found with moderate computational cost), however, the strategy according to which the optimized variables are selected, plays a crucial role in productivity maximization.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fed-batch fermentation controller design with evolutionary computation\",\"authors\":\"A. Riid, E. Rüstern\",\"doi\":\"10.1145/1456223.1456300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the controllers for the benchmark fed-batch fermentation process are obtained using the method of interactive evolutionary computation (IEC). The results allow us to conclude that IEC is a viable and very effective alternative to existing methods if the eventual solution is expected to be relatively simple (so it can be found with moderate computational cost), however, the strategy according to which the optimized variables are selected, plays a crucial role in productivity maximization.\",\"PeriodicalId\":309453,\"journal\":{\"name\":\"International Conference on Soft Computing as Transdisciplinary Science and Technology\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Soft Computing as Transdisciplinary Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1456223.1456300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Soft Computing as Transdisciplinary Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1456223.1456300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fed-batch fermentation controller design with evolutionary computation
In this paper the controllers for the benchmark fed-batch fermentation process are obtained using the method of interactive evolutionary computation (IEC). The results allow us to conclude that IEC is a viable and very effective alternative to existing methods if the eventual solution is expected to be relatively simple (so it can be found with moderate computational cost), however, the strategy according to which the optimized variables are selected, plays a crucial role in productivity maximization.