Index of values


A
after_gen [Ga_optimize.LOCAL]
after_gen user_data numgen population.
after_reproduce [Ga_optimize.LOCAL]
after_reproduce user_data numgen population protected.
after_scale [Ga_optimize.LOCAL]
after_scale user_data numgen population best.
after_share [Ga_optimize.LOCAL]
after_share user_data numgen population sharing.

B
barycenter [Ga_optimize.LOCAL]
barycenter user_data elt1 coeff1 elt2 coeff2.

C
cross [Ga_optimize.LOCAL]
cross user_data numgen parent1 parent2 returns a pair of children issued from the crossing of parent1 and parent2.
crossmut [Ga_crossmut]
crossmut numgen eval cross mutate pool population protected gvars.

D
distance [Ga_optimize.LOCAL]
Returns the distance between two data.

E
eval [Ga_optimize.LOCAL]
eval user_data numgen data returns the evaluation (fitness) of data.

G
generate [Ga_optimize.LOCAL]
generate user_data i generates a new data.
gvars [Ga_optimize.LOCAL]
Variables read in the configuration file.

I
init [Ga_optimize.LOCAL]
Called at the very beginning of the AG.

M
mutate [Ga_optimize.LOCAL]
mutate user_data numgen element returns the mutation of element.

O
opti [Ga_optimize.Make]
opti user_data.

P
prepare_ag [Ga_optimize.LOCAL]
prepare_ag user_data population.
prepare_gen [Ga_optimize.LOCAL]
prepare_gen user_data numgen population.

R
read_config [Ga_cfg]
read_config ~verbose file reads file and ouputs the parameters for the genetic algorithm.
reproduce [Ga_reproduce]
reproduce population protected

S
scale [Ga_scale]
scale numgen population cfg scales the population according to the method specified in cfg.
share [Ga_share]
share distance barycenter cfg population.

T
terminate_ag [Ga_optimize.LOCAL]
terminate_ag user_data population bests elapsed.