rem To learn about all available options of the .py algorithm below, add "-h" to its parameters. rem Use the source code of the examples as a starting point for your customizations. rem Example usage: set DIR_WITH_FRAMS_LIBRARY=......................... rem simple one-criterion evolution, maximize the number of neurons python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -sim "eval-allcriteria.sim" -opt numneurons rem as above but "chaining" .sim files, subsequent files overwrite selected parameters python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -sim "eval-allcriteria.sim;deterministic.sim;sample-period-longest.sim" -opt velocity rem introducing hard limit on the number of Parts, using f9 genetic encoding and saving Hall of Fame python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -opt velocity -max_numparts 6 -genformat 9 -hof_savefile HoF-f9.gen rem two criteria python FramsticksEvolution.py -path %DIR_WITH_FRAMS_LIBRARY% -popsize 40 -generations 10 -opt velocity,vertpos