Pareto epsilon-dominance and identifiable solutions for BioCAD modeling

Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Lió, Giuseppe Nicosia

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)


    We propose a framework to design metabolic pathways in which many objectives are optimized simultaneously. This allows to characterize the energy signature in models of algal and mitochondrial metabolism. The optimal design and assessment of the model is achieved through a multi-objective optimization technique driven by epsilon-dominance and identifiability analysis. A faster convergence process with robust candidate solutions is permitted by a relaxed Pareto dominance, regulating the granularity of the approximation of the Pareto front. Our framework is also suitable for black-box analysis, enabling to investigate and optimize any biological pathway modeled with ODEs, DAEs, FBA and GPR.

    Original languageEnglish
    Title of host publicationProceedings of the 50th Annual Design Automation Conference, DAC 2013
    Publication statusPublished - 12 Jul 2013
    Event50th Annual Design Automation Conference - Austin, TX, United States
    Duration: 29 May 20137 Jun 2013


    Conference50th Annual Design Automation Conference
    Abbreviated titleDAC 2013
    Country/TerritoryUnited States
    CityAustin, TX


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