{"title":"连续生物过程的双目标优化","authors":"Gongxian Xu, Y. Liu, Chao Yu, Dan Su","doi":"10.1109/ISB.2014.6990760","DOIUrl":null,"url":null,"abstract":"This paper addresses the bi-objective optimization of continuous bio-dissimilation process of glycerol to 1, 3-propanediol. A bi-objective optimization model is firstly proposed to maximize the production rate of 1, 3-propanediol, simultaneously maximize the conversion rate of glycerol and ensure the bioprocess is operated under steady-state conditions. Then this bi-objective problem can be transformed into a sequence of single objective problems by using the weighted-sum and normal-boundary intersection methods respectively. Finally, these single objective problems are solved by an interior point method. The results show that the weighted-sum and normalboundary intersection methods can obtain the approximate Pareto-optimal set of the proposed bi-objective optimization problem.","PeriodicalId":249103,"journal":{"name":"2014 8th International Conference on Systems Biology (ISB)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bi-objective optimization of a continuous biological process\",\"authors\":\"Gongxian Xu, Y. Liu, Chao Yu, Dan Su\",\"doi\":\"10.1109/ISB.2014.6990760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the bi-objective optimization of continuous bio-dissimilation process of glycerol to 1, 3-propanediol. A bi-objective optimization model is firstly proposed to maximize the production rate of 1, 3-propanediol, simultaneously maximize the conversion rate of glycerol and ensure the bioprocess is operated under steady-state conditions. Then this bi-objective problem can be transformed into a sequence of single objective problems by using the weighted-sum and normal-boundary intersection methods respectively. Finally, these single objective problems are solved by an interior point method. The results show that the weighted-sum and normalboundary intersection methods can obtain the approximate Pareto-optimal set of the proposed bi-objective optimization problem.\",\"PeriodicalId\":249103,\"journal\":{\"name\":\"2014 8th International Conference on Systems Biology (ISB)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 8th International Conference on Systems Biology (ISB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISB.2014.6990760\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 8th International Conference on Systems Biology (ISB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISB.2014.6990760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bi-objective optimization of a continuous biological process
This paper addresses the bi-objective optimization of continuous bio-dissimilation process of glycerol to 1, 3-propanediol. A bi-objective optimization model is firstly proposed to maximize the production rate of 1, 3-propanediol, simultaneously maximize the conversion rate of glycerol and ensure the bioprocess is operated under steady-state conditions. Then this bi-objective problem can be transformed into a sequence of single objective problems by using the weighted-sum and normal-boundary intersection methods respectively. Finally, these single objective problems are solved by an interior point method. The results show that the weighted-sum and normalboundary intersection methods can obtain the approximate Pareto-optimal set of the proposed bi-objective optimization problem.