|
Last change
on this file since 1167 was
1158,
checked in by Maciej Komosinski, 3 years ago
|
|
Cosmetic/minor improvements
|
|
File size:
1.4 KB
|
| Line | |
|---|
| 1 | rem To learn about all available options of each .py algorithm below, add "-h" to its parameters.
|
|---|
| 2 | rem Use the source code of the examples as a starting point for your customizations.
|
|---|
| 3 | rem Example usage:
|
|---|
| 4 |
|
|---|
| 5 | set DIR_WITH_FRAMS_LIBRARY=............
|
|---|
| 6 |
|
|---|
| 7 |
|
|---|
| 8 |
|
|---|
| 9 |
|
|---|
| 10 | rem simple one-criterion evolution from minimalistic example source (examples.standard)
|
|---|
| 11 | python -m evolalg.examples.standard -path %DIR_WITH_FRAMS_LIBRARY% -opt numneurons
|
|---|
| 12 |
|
|---|
| 13 |
|
|---|
| 14 | rem as above but "chaining" .sim files, subsequent files overwrite selected parameters
|
|---|
| 15 | python -m evolalg.examples.standard -path %DIR_WITH_FRAMS_LIBRARY% -sim eval-allcriteria.sim;deterministic.sim;sample-period-longest.sim -opt velocity
|
|---|
| 16 |
|
|---|
| 17 |
|
|---|
| 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
|
|---|
| 19 | python -m evolalg.examples.niching_novelty -path %DIR_WITH_FRAMS_LIBRARY% -opt velocity -max_numparts 6 -debug
|
|---|
| 20 |
|
|---|
| 21 |
|
|---|
| 22 | rem "local" niching
|
|---|
| 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
|
|---|
| 24 |
|
|---|
| 25 |
|
|---|
| 26 | rem two criteria, '-dissim ...' can also be used to include dissimilarity as one of the criteria
|
|---|
| 27 | python -m evolalg.examples.multicriteria -path %DIR_WITH_FRAMS_LIBRARY% -popsize 40 -generations 10 -opt velocity,vertpos
|
|---|
Note: See
TracBrowser
for help on using the repository browser.
