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Last change
on this file since 1193 was
1161,
checked in by Maciej Komosinski, 3 years ago
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Multiple new functionalities in simple evolutionary optimization in python; added many new parameters; added some examples
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File size:
1.1 KB
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| [1161] | 1 | rem To learn about all available options of the .py algorithm below, add "-h" to its parameters.
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| 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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| 5 | set DIR_WITH_FRAMS_LIBRARY=.........................
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| 10 | rem simple one-criterion evolution, maximize the number of neurons
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| 11 | python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -sim eval-allcriteria.sim -opt numneurons
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| 14 | rem as above but "chaining" .sim files, subsequent files overwrite selected parameters
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| 15 | python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -sim eval-allcriteria.sim;deterministic.sim;sample-period-longest.sim -opt velocity
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| 18 | rem introducing hard limit on the number of Parts, using f9 genetic encoding and saving Hall of Fame
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| 19 | python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -opt velocity -max_numparts 6 -genformat 9 -hof_savefile HoF-f9.gen
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| 22 | rem two criteria
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| 23 | python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -popsize 40 -generations 10 -opt velocity,vertpos
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