pysamoo - Surrogate-Assisted Multi-objective Optimization
The software documentation is available here: https://anyoptimization.com/projects/pysamoo/
Installation
The official release is always available at PyPi:
pip install -U pysamooUsage
We refer here to our documentation for all the details. However, for instance, executing NSGA2:
from pymoo.optimize import minimize
from pymoo.problems.multi.zdt import ZDT1
from pymoo.visualization.scatter import Scatter
from pysamoo.algorithms.ssansga2 import SSANSGA2
problem = ZDT1(n_var=10)
algorithm = SSANSGA2(n_initial_doe=50,
n_infills=10,
surr_pop_size=100,
surr_n_gen=50)
res = minimize(
problem,
algorithm,
('n_evals', 200),
seed=1,
verbose=True)
plot = Scatter()
plot.add(problem.pareto_front(), plot_type="line", color="black", alpha=0.7)
plot.add(res.F, facecolor="none", edgecolor="red")
plot.show()Citation
If you use this framework, we kindly ask you to cite the following paper:
@misc{pysamoo,
title={pysamoo: Surrogate-Assisted Multi-Objective Optimization in Python},
author={Julian Blank and Kalyanmoy Deb},
year={2022},
eprint={2204.05855},
archivePrefix={arXiv},
primaryClass={cs.NE}
}
Contact
Feel free to contact me if you have any questions:
1 maintainer
Metadata
1 maintainer
Release files for pysamoo 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pysamoo-0.1.2.tar.gz | 41.5 kB | Without provenance | Details |
Release files / pysamoo-0.1.2.tar.gz
| Download URL | pysamoo-0.1.2.tar.gz |
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| Size | 41.5 kB |
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