A | |
after_gen [Ga_optimize.LOCAL] | after_gen user_data numgen population .
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after_reproduce [Ga_optimize.LOCAL] | after_reproduce user_data numgen population protected .
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after_scale [Ga_optimize.LOCAL] | after_scale user_data numgen population best .
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after_share [Ga_optimize.LOCAL] | after_share user_data numgen population sharing .
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B | |
barycenter [Ga_optimize.LOCAL] | barycenter user_data elt1 coeff1 elt2 coeff2 .
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C | |
cross [Ga_optimize.LOCAL] | cross user_data numgen parent1 parent2 returns a pair of children
issued from the crossing of parent1 and parent2 .
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crossmut [Ga_crossmut] | crossmut numgen eval cross mutate pool population protected gvars .
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D | |
distance [Ga_optimize.LOCAL] |
Returns the distance between two data.
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E | |
eval [Ga_optimize.LOCAL] | eval user_data numgen data returns the evaluation (fitness) of
data .
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G | |
generate [Ga_optimize.LOCAL] | generate user_data i generates a new data.
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gvars [Ga_optimize.LOCAL] |
Variables read in the configuration file.
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I | |
init [Ga_optimize.LOCAL] |
Called at the very beginning of the AG.
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M | |
mutate [Ga_optimize.LOCAL] | mutate user_data numgen element returns the mutation of element .
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O | |
opti [Ga_optimize.Make] | opti user_data .
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P | |
prepare_ag [Ga_optimize.LOCAL] | prepare_ag user_data population .
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prepare_gen [Ga_optimize.LOCAL] | prepare_gen user_data numgen population .
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R | |
read_config [Ga_cfg] | read_config ~verbose file reads file and ouputs the parameters for the
genetic algorithm.
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reproduce [Ga_reproduce] | reproduce population protected
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S | |
scale [Ga_scale] | scale numgen population cfg scales the population according to the
method specified in cfg .
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share [Ga_share] | share distance barycenter cfg population .
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T | |
terminate_ag [Ga_optimize.LOCAL] | terminate_ag user_data population bests elapsed .
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