ECVis
This library contains a range of methods for visualising the operation of evolutionary algorithms and the solutions they produce, including many-objective solution sets. Some of the methods are based on the following papers:
- Walker, David J., Everson, Richard M., and Fieldsend, Jonathan E. "Visualizing mutually nondominating solution sets in many-objective optimization." IEEE Transactions on Evolutionary Computation 17, no. 2 (2012): 165-184.
The code is maintained by David Walker at the University of Exeter. If you make use of the code, please cite the relevant paper.
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Release files for ecvis 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| ecvis-0.1.0.tar.gz | 5.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ecvis-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 kB
Release files / ecvis-0.1.0.tar.gz
| Download URL | ecvis-0.1.0.tar.gz |
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| Size | 5.5 kB |
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Release files / ecvis-0.1.0-py3-none-any.whl
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| Size | 5.1 kB |
| Tags | Python 3 |
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