rem To learn about all available options of each .py algorithm, 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=............ python -m evolalg.examples.standard -path %DIR_WITH_FRAMS_LIBRARY% -opt numneurons python -m evolalg.examples.niching_novelty -path %DIR_WITH_FRAMS_LIBRARY% -opt velocity -max_numparts 6 -debug 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 rem '-dissim ...' can be used to include dissimilarity as one of the criteria python -m evolalg.examples.multicriteria -path %DIR_WITH_FRAMS_LIBRARY% -popsize 40 -generations 10 -opt velocity,vertpos