libcmaes 0.10.2
A C++11 library for stochastic optimization with CMA-ES
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noboundstrategy.h
1
22#ifndef NOBOUNDSTRATEGY_H
23#define NOBOUNDSTRATEGY_H
24
25#include <libcmaes/eo_matrix.h>
26#include <vector>
27#include <limits>
28
29namespace libcmaes
30{
32 {
33 public:
34 NoBoundStrategy(const double *lbounds=nullptr,const double *ubounds=nullptr,const int dim=0)
35 {
38 (void)dim;
39 }; // empty constructor with signature.
40
41 NoBoundStrategy(const double *lbounds,const double *ubounds,
42 const double *plbounds,const double *pubounds,const int dim=0)
43 {
48 (void)dim;
49 }; // empty constructor with signature.
50
52
53 void to_f_representation(const dVec &x, dVec &y) const
54 {
55 (void)x;
56 (void)y;
57 }
58
59 void remove_dimensions(const std::vector<int> &k)
60 {
61 (void)k;
62 }
63
64 bool is_id() const
65 {
66 return _id;
67 }
68
69 double getLBound(const int &k) const { (void)k;return -std::numeric_limits<double>::max(); }
70 double getUBound(const int &k) const { (void)k;return std::numeric_limits<double>::max(); }
71 double getPhenoLBound(const int &k) const { (void)k;return -std::numeric_limits<double>::max(); }
72 double getPhenoUBound(const int &k) const { (void)k;return std::numeric_limits<double>::max(); }
73
74 private:
75 bool _id = true;
76 };
77}
78
79#endif
an optimizer main class.
Definition esoptimizer.h:72
Definition noboundstrategy.h:32
linear scaling of the parameter space to achieve similar sensitivity across all components.
Definition acovarianceupdate.h:30