{"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}
引用次数: 0
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.