Metadata-Version: 2.1
Name: pySEED
Version: 1.0.1
Summary: pySEED is a python inplementation of symmetric-approximation energy-based estimation of distribution (seed): a continuous optimization algorithm, that was published in IEEE Accsses, with DOI: 10.1109/ACCESS.2019.2948199
Home-page: https://github.com/juandeanda/pySEED.git
Author: Valentin Calzada Ledesma, Juan de Anda Suarez
Author-email: m.c.juandeanda@gmail.com
License: UNKNOWN
Description: pySEED-EDA is a Python implementation of the Symmetric-Approximation Energy-Based Estimation of Distribution (SEED) algorithm: A Continuous Optimization Algorithm , which allows the optimization in continuous space for independent variable functions, based on distribution estimation algorithms, in the Univariate Marginal Distribution scheme [2], the main idea is to make a generational change in each population evolution under the Boltzmann distribution probability function (PDF-B), because PDF-B is a function that has the property that states with less energy are unlikely, so SEED converges in each evolution to a better or equal energy state.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5.2
Description-Content-Type: text/markdown
