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. Its functionality and API were designed to be familiar to users of the PyDREAM, simplePSO, and Gleipnir packages.

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. What's new in version 0.6.0

• core GA now returns an array with fitness value of the fittest individual from each generation which can be accessed from the GAO property GAO.best_fitness_per_generation.
• Bug fix in core GA for sorting the population before selection and mating.