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Accession number:       
20150200407253
        Title:        Bi-objective optimization of a continuous biological process
        Authors:        Xu, Gongxian1 Email author gxxu@bhu.edu.cn; Liu, Ying1; Yu, Chao1; Su, Dan1
        Author affiliation:        1 Department of Mathematics, Bohai University, Jinzhou, China
        Source title:        International Conference on Systems Biology, ISB
        Abbreviated source title:        Int. Conf. Syst. Biol.
        Part number:        1 of 1
        Issue date:        December 17, 2014
        Publication year:        2014
        Pages:        230-234
        Article number:        6990760
        Language:        English
        ISSN:        23250704
        E-ISSN:        23250712
        ISBN-13:        9781479972944
        Document type:        Conference article (CA)
        Conference name:        8th International Conference on Systems Biology, ISB 2014
        Conference date:        August 24, 2014 - August 27, 2014
        Conference location:        Qingdao, China
        Conference code:        109794
        Sponsor:        Academy of Mathematics and Systems Sciences of CAS (AMSS); et al.; National Natural Science Foundation of China (NSFC); Qingdao Institute of Bioenergy and Bioprocess Technology of CAS (QIBEBT); Qingdao University; Shanghai Institutes for Biological Sciences of CAS (SIBS)
        Publisher:        IEEE Computer Society
        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. © 2014 IEEE.
        Number of references:        20
        Main heading:        Optimization
        Controlled terms:        Glycerol  -  Pareto principle  -  Structural analysis
        Uncontrolled terms:        Bi-objective optimization  -  Interior point algorithm  -  Interior point methods  -  Intersection method  -  Normal boundary intersection methods  -  Pareto-optimal sets  -  Steady-state condition  -  Weighted sum method
        Classification code:        408.1 Structural Design, General -  804.1 Organic Compounds -  911 Cost and Value Engineering; Industrial Economics -  912 Industrial Engineering and Management -  921.5 Optimization Techniques
        DOI:        10.1109/ISB.2014.6990760
        Database:        Compendex
                Compilation and indexing terms, © 2015 Elsevier Inc，

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