Multi-objective optimization of glycopeptide antibiotic production in batch and fed batch processes

Soumen K. Maiti, Anna Eliasson Lantz, Mani Bhushan, Pramod P. Wangikar

    Research output: Contribution to journalJournal articleResearchpeer-review


    Fermentation optimization involves potentially conflicting multiple objectives such as product concentration and production media cost. Simultaneous optimization of these objectives would result in a multiobjective optimization problem, which is characterized by a set of multiple solutions, knows as pareto optimal solutions. These solutions gives flexibility in evaluating the trade-offs and selecting the most suitable operating policy. Here, ε-constraint approach was used to generate the pareto solutions for two objectives: product concentration and product per unit cost of media, for batch and fed batch operations using process model for Amycolatopsis balhimycina, a glycopeptide antibiotic producer. This resulted in a set of several pareto optimal solutions with the two objectives ranging from (0.75gl−1, 3.97g$-1) to (0.44gl−1, 5.19g$-1) for batch and from (1.5gl−1, 5.46g$-1) to (1.1gl−1, 6.34g$-1) for fed batch operations. One pareto solution each for batch and for fed batch mode was experimentally validated.
    Original languageEnglish
    JournalBioresource Technology
    Issue number13
    Pages (from-to)6951-6958
    Publication statusPublished - 2011


    • Batch
    • Multi-objective optimization
    • Glycopeptide antibiotic
    • Fed batch
    • Pareto optimal


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