source: framspy/run-evolalg-examples.cmd @ 1147

Last change on this file since 1147 was 1147, checked in by Maciej Komosinski, 4 months ago

Multi-criteria optimization, can optionally include diversity is one criterion

File size: 844 bytes
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1rem To learn about all available options of each .py algorithm, add "-h" to its parameters.
2rem Use the source code of the examples as a starting point for your customizations.
3rem Example usage:
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5set DIR_WITH_FRAMS_LIBRARY=............
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8python -m evolalg.examples.standard          -path %DIR_WITH_FRAMS_LIBRARY%   -opt numneurons
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10python -m evolalg.examples.niching_novelty   -path %DIR_WITH_FRAMS_LIBRARY%   -opt velocity   -max_numparts 6   -debug
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12python -m evolalg.examples.niching_novelty   -path %DIR_WITH_FRAMS_LIBRARY%   -opt vertpos    -fit knn_niching  -knn 3    -max_numjoints 8 -popsize 10 -generations 30
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14rem '-dissim ...' can be used to include dissimilarity as one of the criteria
15python -m evolalg.examples.multicriteria     -path %DIR_WITH_FRAMS_LIBRARY%   -popsize 40 -generations 10 -opt velocity,vertpos
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