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Last change
on this file since 1178 was
1158,
checked in by Maciej Komosinski, 3 years ago
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Cosmetic/minor improvements
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File size:
1.4 KB
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| [1149] | 1 | rem To learn about all available options of each .py algorithm below, add "-h" to its parameters.
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| [1113] | 2 | rem Use the source code of the examples as a starting point for your customizations.
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| 3 | rem Example usage:
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| 4 |
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| [1117] | 5 | set DIR_WITH_FRAMS_LIBRARY=............
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| [1113] | 6 |
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| 7 |
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| [1149] | 8 |
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| [1158] | 9 |
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| 10 | rem simple one-criterion evolution from minimalistic example source (examples.standard)
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| [1117] | 11 | python -m evolalg.examples.standard -path %DIR_WITH_FRAMS_LIBRARY% -opt numneurons
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| [1113] | 12 |
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| [1149] | 13 |
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| [1158] | 14 | rem as above but "chaining" .sim files, subsequent files overwrite selected parameters
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| [1149] | 15 | python -m evolalg.examples.standard -path %DIR_WITH_FRAMS_LIBRARY% -sim eval-allcriteria.sim;deterministic.sim;sample-period-longest.sim -opt velocity
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| [1158] | 18 | rem simple one-criterion evolution but more options available in examples.niching_novelty, here: hard limit on the number of parts and debugging messages
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| [1145] | 19 | python -m evolalg.examples.niching_novelty -path %DIR_WITH_FRAMS_LIBRARY% -opt velocity -max_numparts 6 -debug
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| 20 |
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| [1149] | 21 |
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| 22 | rem "local" niching
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| [1145] | 23 | python -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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| [1147] | 24 |
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| [1149] | 25 |
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| 26 | rem two criteria, '-dissim ...' can also be used to include dissimilarity as one of the criteria
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| [1147] | 27 | python -m evolalg.examples.multicriteria -path %DIR_WITH_FRAMS_LIBRARY% -popsize 40 -generations 10 -opt velocity,vertpos
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