22#ifndef CMAPARAMETERS_H
23#define CMAPARAMETERS_H
25#include <libcmaes/parameters.h>
26#include <libcmaes/eo_matrix.h>
27#include <libcmaes/cmaes_export.h>
35 template <
class TGenoPheno=GenoPheno<NoBoundStrategy> >
39 template <
class U,
class V>
friend class CMAStrategy;
40 template <
class U,
class V,
class W>
friend class ESOStrategy;
46 template <
class U>
friend class errstats;
94 const std::vector<double> &sigma,
96 const std::vector<double> &
lbounds=std::vector<double>(),
97 const std::vector<double> &
ubounds=std::vector<double>(),
105 void initialize_parameters();
108 void reset_as_fixed(
const int &
k);
142 std::map<std::string,int>::const_iterator
mit;
145 else LOG(ERROR) <<
"unknown algorithm " <<
algo << std::endl;
146 if (
algo.find(
"sep")!=std::string::npos)
148 if (
algo.find(
"vd")!=std::string::npos)
202 void set_fixed_p(
const int &index,
const double &
value);
208 void unset_fixed_p(
const int &index);
246 _elitist = _initial_elitist = _initial_elitist_on_restart;
250 _initial_elitist = _initial_elitist_on_restart =
false;
254 _initial_elitist =
true;
255 _elitist = _initial_elitist_on_restart =
false;
259 _initial_elitist_on_restart =
true;
260 _elitist = _initial_elitist =
false;
273 _stoppingcrit.insert(std::pair<int,bool>(
criteria,active));
281 void set_tpa(
const int &
b);
322 bool _elitist =
false;
323 bool _initial_elitist =
false;
324 bool _initial_elitist_on_restart =
false;
330 template<
class TGenoPheno>
331 std::map<std::string,int>
Parameters<TGenoPheno>::_algos = {{
"cmaes",0},{
"ipop",1},{
"bipop",2},{
"acmaes",3},{
"aipop",4},{
"abipop",5},{
"sepcmaes",6},{
"sepipop",7},{
"sepbipop",8},{
"sepacmaes",9},{
"sepipop",10},{
"sepbipop",11},{
"vdcma",12},{
"vdipopcma",13},{
"vdbipopcma",14}};
Active Covariance Matrix update. This implementation closely follows N. Hansen, R....
Definition acovarianceupdate.h:39
Implementation of the BIPOP flavor of CMA-ES, with restarts that control the population of offsprings...
Definition bipopcmastrategy.h:38
Parameters for various flavors of the CMA-ES algorithm.
Definition cmaparameters.h:37
double _deltamaxsigma
Definition cmaparameters.h:314
void set_lazy_update(const bool &lz)
sets the lazy update (i.e. updates the eigenvalues every few steps).
Definition cmaparameters.h:226
double _cmu
Definition cmaparameters.h:294
int _mu
Definition cmaparameters.h:290
void set_restarts(const int &nrestarts)
sets the maximum number of restarts (applies to IPOP and BIPOP).
Definition cmaparameters.h:214
void set_tpa_dsigma(const double &d)
sets dsigma value, use with care.
Definition cmaparameters.h:287
bool is_vd() const
whether algorithm uses vd update.
Definition cmaparameters.h:194
std::map< int, bool > _stoppingcrit
Definition cmaparameters.h:327
void set_stopping_criteria(const int &criteria, const bool &active)
all stopping criteria are active by default, this allows to control them
Definition cmaparameters.h:270
double _cm
Definition cmaparameters.h:311
int get_restarts() const
get the number of restarts (applies to IPOP and BIPOP).
Definition cmaparameters.h:220
double _alphaminusold
Definition cmaparameters.h:313
bool is_sep() const
whether algorithm leverages separability.
Definition cmaparameters.h:183
void set_elitism(const int &e)
sets elitism: 0 -> no elitism 1 -> elitism: reinjects the best-ever seen solution 2 -> initial elitis...
Definition cmaparameters.h:243
double _dsigma
Definition cmaparameters.h:297
double _sigma_init
Definition cmaparameters.h:304
double _alphaminusmin
Definition cmaparameters.h:316
double get_sigma_init() const
returns initial sigma value
Definition cmaparameters.h:156
double _csigma
Definition cmaparameters.h:292
void set_str_algo(const std::string &algo)
sets the optimization algorithm.
Definition cmaparameters.h:140
dVec _weights
Definition cmaparameters.h:291
void set_gradient(const bool &gradient)
activates the gradient injection scheme. If no gradient function is defined, injects a numerical grad...
Definition cmaparameters.h:167
bool get_lazy_update()
get lazy update status.
Definition cmaparameters.h:232
double _chi
Definition cmaparameters.h:302
bool _lazy_update
Definition cmaparameters.h:307
double _c1
Definition cmaparameters.h:293
double _lazy_value
Definition cmaparameters.h:308
double _alphacov
Definition cmaparameters.h:312
void set_algo(const int &algo)
sets the optimization algorithm. Note: overrides Parameters::set_algo
Definition cmaparameters.h:120
double _cc
Definition cmaparameters.h:295
double _muw
Definition cmaparameters.h:296
double _lambdamintarget
Definition cmaparameters.h:315
Holder of the set of evolving solutions from running an instance of CMA-ES.
Definition cmasolutions.h:42
CMA-ES termination criteria, see reference paper in cmastrategy.h.
Definition cmastopcriteria.h:76
This is an implementation of CMA-ES. It uses the reference algorithm and termination criteria of the ...
Definition cmastrategy.h:46
Covariance Matrix update. This is an implementation closely follows: Hansen, N. (2009)....
Definition covarianceupdate.h:38
Main class describing an evolutionary optimization strategy. Every algorithm in libcmaes descends fro...
Definition esostrategy.h:52
an optimizer main class.
Definition esoptimizer.h:72
ESOptimizer()
dummy constructor
Definition esoptimizer.h:77
Implementation of the IPOP flavor of CMA-ES, with restarts that linearly increase the population of o...
Definition ipopcmastrategy.h:36
Generic class for Evolution Strategy parameters.
Definition parameters.h:42
VD-CMA update that is a linear time/space variant of CMA-ES This is an implementation that closely fo...
Definition vdcmaupdate.h:39
linear scaling of the parameter space to achieve similar sensitivity across all components.
Definition acovarianceupdate.h:30