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Published June 21, 2020 | Version v0.5.0
Software Open

GAlibrate: Model calibration using Genetic Algorithm optimization in Python.

Authors/Creators

  • 1. The University of Texas at Dallas

Description

GAlibrate is a python toolkit that provides an easy-to-use interface for model calibration/parameter estimation using an implementation of continuous genetic algorithm-based optimization. Although GAlibrate provides a general framework for running continuous genetic algorithm-based optimizations, it was created with systems biology models in mind. It therefore supplies additional tools for working with biological models in the PySB format.

Notes

v0.5.0 includes two new features: * Optional tqdm progress bar for GAO.run function (progress by passage of generations.) * Optional multiprocessing based parallelism during GAO.run, used when evaluating the fitness function over populations.

Files

blakeaw/GAlibrate-v0.5.0.zip

Files (36.8 kB)

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Additional details

Related works

Is supplement to
https://github.com/blakeaw/GAlibrate/tree/v0.5.0 (URL)