libcmaes
0.10.2
A C++11 library for stochastic optimization with CMA-ES
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noboundstrategy.h
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#ifndef NOBOUNDSTRATEGY_H
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#define NOBOUNDSTRATEGY_H
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#include <libcmaes/eo_matrix.h>
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#include <vector>
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#include <limits>
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namespace
libcmaes
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{
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class
NoBoundStrategy
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{
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public
:
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NoBoundStrategy
(
const
double
*
lbounds
=
nullptr
,
const
double
*
ubounds
=
nullptr
,
const
int
dim=0)
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{
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(
void
)
lbounds
;
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(
void
)
ubounds
;
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(
void
)dim;
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};
// empty constructor with signature.
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NoBoundStrategy
(
const
double
*
lbounds
,
const
double
*
ubounds
,
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const
double
*
plbounds
,
const
double
*
pubounds
,
const
int
dim=0)
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{
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(
void
)
lbounds
;
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(
void
)
ubounds
;
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(
void
)
plbounds
;
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(
void
)
pubounds
;
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(
void
)dim;
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};
// empty constructor with signature.
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~NoBoundStrategy
() {};
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void
to_f_representation(
const
dVec &
x
, dVec &
y
)
const
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{
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(
void
)
x
;
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(
void
)
y
;
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}
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void
remove_dimensions(
const
std::vector<int> &
k
)
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{
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(
void
)
k
;
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}
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bool
is_id()
const
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{
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return
_id;
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}
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double
getLBound(
const
int
&
k
)
const
{ (
void
)
k
;
return
-std::numeric_limits<double>::max(); }
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double
getUBound(
const
int
&
k
)
const
{ (
void
)
k
;
return
std::numeric_limits<double>::max(); }
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double
getPhenoLBound(
const
int
&
k
)
const
{ (
void
)
k
;
return
-std::numeric_limits<double>::max(); }
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double
getPhenoUBound(
const
int
&
k
)
const
{ (
void
)
k
;
return
std::numeric_limits<double>::max(); }
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private
:
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bool
_id =
true
;
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};
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}
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#endif
libcmaes::ESOptimizer
an optimizer main class.
Definition
esoptimizer.h:72
libcmaes::NoBoundStrategy
Definition
noboundstrategy.h:32
libcmaes
linear scaling of the parameter space to achieve similar sensitivity across all components.
Definition
acovarianceupdate.h:30
include
libcmaes
noboundstrategy.h
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