chrono::ChOptimizerGenetic Class Reference
Description
Class for global optimization with the genetic method (evolutive simulation).
#include <ChSolvmin.h>
Inheritance diagram for chrono::ChOptimizerGenetic:
Collaboration diagram for chrono::ChOptimizerGenetic:
Public Member Functions | |
| ChOptimizerGenetic (const ChOptimizerGenetic &other) | |
| virtual bool | DoOptimize () override |
| This function computes the optimal xv[]. More... | |
| bool | CreatePopulation (ChGenotype **&my_population, int my_popsize) |
| bool | DeletePopulation (ChGenotype **&my_population, int my_popsize) |
| ChGenotype * | Select_roulette (ChGenotype **my_population) |
| ChGenotype * | Select_best (ChGenotype **my_population) |
| ChGenotype * | Select_worst (ChGenotype **my_population) |
| double | Get_fitness_interval (ChGenotype **my_population) |
| double | ComputeFitness (ChGenotype *) |
| void | ApplyCrossover (ChGenotype *par1, ChGenotype *par2, ChGenotype &child1, ChGenotype &child2) |
| bool | InitializePopulation () |
| bool | ComputeAllFitness () |
| void | Selection () |
| void | Crossover () |
| void | Mutation () |
| void | PopulationStats (double &average, double &max, double &min, double &stdeviation) |
| void | LogOut (bool filelog) |
 Public Member Functions inherited from chrono::ChOptimizer | |
| ChOptimizer (const ChOptimizer &other) | |
| virtual void | SetObjective (ChFx *mformula) |
| Sets the objective function to maximize. | |
| virtual ChFx * | GetObjective () const |
| virtual void | SetObjectiveGrad (ChFx *mformula) |
| Sets the objective function gradient (not mandatory, because if not set, the default bacward differentiation is used). | |
| virtual ChFx * | GetObjectiveGrad () const |
| virtual void | SetNumOfVars (int mv) |
| Set the number of optimization variables. More... | |
| virtual int | GetNumOfVars () const |
| Returns the number of optimization variables. | |
| double * | GetXv () const |
| double * | GetXv_sup () const |
| double * | GetXv_inf () const |
| void | SetXv (double *mx) |
| void | SetXv_sup (double *mx) |
| void | SetXv_inf (double *mx) |
| double | Eval_fx (double x[]) |
| Returns the value of the functional, for given state of variables and with the given "database" multibody system. More... | |
| double | Eval_fx (const ChVectorDynamic<> &x) |
| void | Eval_grad (double x[], double gr[]) |
| Computes the gradient of objective function, for given state of variables. More... | |
| void | Eval_grad (const ChVectorDynamic<> &x, ChVectorDynamic<> &gr) |
| virtual bool | PreOptimize () |
| Performs the optimization of the ChSystem pointed by "database" (or whatever object which can evaluate the string "function" and the "optvarlist") using the current parameters. More... | |
| virtual bool | PostOptimize () |
| Finalization and cleanup. | |
| virtual bool | Optimize () |
| Does the three steps in sequence PreOptimize, DoOptimize, PostOptimize. More... | |
| void | DoBreakCheck () |
| Each break_cycles number of times this fx is called, the function break_funct() is evaluated (if any) and if positive, the variable user_break becomes true. | |
Public Attributes | |
| int | popsize |
| def = 100; initial population size in array "population" | |
| ChGenotype ** | population |
| Array of pointers to population genotypes. | |
| ChGenotype * | best_indiv |
| Copy of the individual with best fitness found in latest optimization. | |
| int | max_generations |
| max number of generations to perform | |
| SelectionType | selection |
| reproduction (selection) type | |
| CrossoverType | crossover |
| crossover type | |
| MutationType | mutation |
| mutation type; | |
| bool | elite |
| if true, best parent is always kept after crossover | |
| CrossoverChangeType | crossv_change |
| see codes above, if NO_CHANGE the crossover type is always the same | |
| CrossoverType | crossv_changeto |
| the type of new crossover if using crossv_change | |
| long | crossv_changewhen |
| generation number, when the "change of crossover type" takes place | |
| double | mutation_prob |
| probability of mutation, 0..1, default = 0.001 | |
| double | crossover_prob |
| crossover probability, default = 0.3; | |
| bool | speciation_mating |
| if true, marriage happens between similar individuals; | |
| bool | incest_taboo |
| if true, avoids marriage between individuals too similar | |
| ReplaceMode | replacement |
| replacement mode | |
| double | eugenetics |
| range (0..1); if 0, no eugenetics, otherwise clamp for fitness (normalized in 0..1) | |
| bool | stop_by_stdeviation |
| if true... (def: false) | |
| double | stop_stdeviation |
| stop search if stdeviation becomes lower than this value (def.0) | |
| bool | stop_by_fitness |
| if true... (def. false) | |
| double | stop_fitness |
| stop search if fitness of best individual exceed this value (def.0) | |
| double | average |
| the average fitness of individuals | |
| double | stdeviation |
| the unbiased standard deviation (=sqrt(variance)) of fitness | |
| double | min_fitness |
| double | max_fitness |
| long | generations_done |
| number of generations performed | |
| long | mutants |
| mutated individuals since start of optimizations | |
| ChVectorDynamic * | his_average |
| ChVectorDynamic * | his_stdeviation |
| ChVectorDynamic * | his_maxfitness |
| ChVectorDynamic * | his_minfitness |
| Public Attributes inherited from chrono::ChOptimizer | |
| bool | minimize |
| default = false; just maximize | |
| double | grad_step |
| default = 1.e-12; step size for evaluation of gradient | |
| double | opt_fx |
| best resulting value of objective function | |
| char | err_message [200] |
| the ok/warning/error messages are written here | |
| int | error_code |
| long | fx_evaluations |
| number of function evaluations | |
| long | grad_evaluations |
| number of gradient evaluations | |
| int(* | break_funct )() |
| if not null, this function is called each 'break_cycles' evaluations | |
| int | break_cycles |
| how many fx evaluations per check | |
| int | user_break |
| if break_funct() reported true, this flag is ON, and optimizers should exit all cycles | |
| int | break_cyclecounter |
| internal | |
Additional Inherited Members | |
| Protected Attributes inherited from chrono::ChOptimizer | |
| ChFx * | afunction |
| the function to be maximized | |
| ChFx * | afunctionGrad |
| the gradient of the function to be maximized, or null for default BDF. | |
| int | C_vars |
| number of input variables | |
| double * | xv |
| Vector of variables, also 1st approximation. | |
| double * | xv_sup |
| These are the hi/lo limits for the variables,. | |
| double * | xv_inf |
| these are not used by all optimizer, and can be NULL for gradient, but needed for genetic. | |
Member Function Documentation
◆ Crossover()
| void chrono::ChOptimizerGenetic::Crossover | ( | ) |
if (par1->genes->Equals(par2->genes)) /cout << "\n --incest";
◆ DoOptimize()
|
overridevirtual |
This function computes the optimal xv[].
It must be implemented by derived classes
Reimplemented from chrono::ChOptimizer.
The documentation for this class was generated from the following files:
- /builds/uwsbel/chrono/src/chrono/solver/ChSolvmin.h
- /builds/uwsbel/chrono/src/chrono/solver/ChSolvmin.cpp
