ECsPy is a free, open source framework for creating evolutionary computations in Python. Additionally, ECsPy provides an easy-to-use canonical genetic algorithm (GA), evolution strategy (ES), estimation of distribution algorithm (EDA), differential evolution algorithm (DEA), and particle swarm optimizer (PSO) for users who don't need much customization. The full documentation can be found at http://mcis.jsu.edu/faculty/agarrett/ecspy.
RequirementsRequires at least Python 2.6. Matplotlib is required if the line plot observer is used. Parallel Python (pp) is required if parallel evaluation is used. LicenseThis package is distributed under the GNU General Public License version 3.0 (GPLv3). This license can
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