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)

Abstract

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
DOIs
Publication statusPublished - 12 Jul 2013
Event50th Annual Design Automation Conference - Austin, TX, United States
Duration: 29 May 20137 Jun 2013

Conference

Conference50th Annual Design Automation Conference
Abbreviated titleDAC 2013
CountryUnited States
CityAustin, TX
Period29/05/137/06/13

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    Angione, C., Costanza, J., Carapezza, G., Lió, P., & Nicosia, G. (2013). Pareto epsilon-dominance and identifiable solutions for BioCAD modeling. In Proceedings of the 50th Annual Design Automation Conference, DAC 2013 [43] https://doi.org/10.1145/2463209.2488787