A library for simulation-based parameter optimization
Project description
Apricopt
Apricopt is a python framework for simulation-based optimisation of dynamical systems.
It is agnostic with respect to the optimiser and to the simulator.
Apricopt supports the PEtab format for the definition of the optimisation problem. More info about PEtab here.
Currently, we support the following simulators:
- COPASI. A state-of-the-art simulator for models of biological processes. We support SBML models (any level and version).
Currently, we support the following black-box optimisers:
- NOMAD. A state-of the art black-box solver that supports surrogate models. More info here.
Goals
WIP
- Version 0.0.1a1.dev1
Who do I talk to?
- Marco Esposito (author) - esposito@di.uniroma1.it
- Leonardo Picchiami (author) - picchiami.1643888@studenti.uniroma1.it
Copyright (C) 2020 Marco Esposito, Leonardo Picchiami.
Distributed under GNU General Public License v3.
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