Translate
Translate#

class translate#
The translate metaproblem.
This metaproblem translates the whole search space of an input problem by a fixed translation vector. pagmo::translate objects are userdefined problems that can be used in the definition of a pagmo::problem.
Public Functions

translate()#
Default constructor.
The constructor will initialize a nontranslated defaultconstructed pagmo::problem.

template<typename T, ctor_enabler<T> = 0>
inline explicit translate(T &&p, const vector_double &translation)# Constructor from problem and translation vector.
Wraps a userdefined problem so that its fitness , bounds, etc. will be shifted by a translation vector.
Note
This constructor is enabled only if
T
can be used to construct apagmo::problem
. Parameters
p – a pagmo::problem or a userdefined problem (UDP).
translation – an
std::vector
containing the translation to apply.
 Throws
std::invalid_argument – if the length of
translation
is not equal to the problem dimension \( n_x\).unspecified – any exception thrown by the pagmo::problem constructor.

vector_double fitness(const vector_double&) const#
Fitness.
The fitness computation is forwarded to the inner UDP, after the translation of
x
. Parameters
x – the decision vector.
 Throws
unspecified – any exception thrown by memory errors in standard containers, or by problem::fitness().
 Returns
the fitness of
x
.

vector_double batch_fitness(const vector_double&) const#
Batch fitness.
The batch fitness computation is forwarded to the inner UDP, after the translation of
xs
. Parameters
xs – the input decision vectors.
 Throws
unspecified – any exception thrown by memory errors in standard containers, threading primitives, or by problem::batch_fitness().
 Returns
the fitnesses of
xs
.

bool has_batch_fitness() const#
Check if the inner problem can compute fitnesses in batch mode.
 Returns
the output of the
has_batch_fitness()
member function invoked by the inner problem.

std::pair<vector_double, vector_double> get_bounds() const#
Boxbounds.
The boxbounds returned by this method are the translated boxbounds of the inner UDP.
 Throws
unspecified – any exception thrown by memory errors in standard containers, or by problem::get_bounds().
 Returns
the lower and upper bounds for each of the decision vector components.

vector_double::size_type get_nobj() const#
Number of objectives.
 Returns
the number of objectives of the inner problem.

vector_double::size_type get_nec() const#
Equality constraint dimension.
Returns the number of equality constraints of the inner problem.
 Returns
the number of equality constraints of the inner problem.

vector_double::size_type get_nic() const#
Inequality constraint dimension.
Returns the number of inequality constraints of the inner problem.
 Returns
the number of inequality constraints of the inner problem.

vector_double::size_type get_nix() const#
Integer dimension.
 Returns
the integer dimension of the inner problem.

bool has_gradient() const#
Checks if the inner problem has gradients.
The
has_gradient()
computation is forwarded to the inner problem. Returns
a flag signalling the availability of the gradient in the inner problem.

vector_double gradient(const vector_double&) const#
Gradients.
The gradients computation is forwarded to the inner problem, after the translation of
x
. Parameters
x – the decision vector.
 Throws
unspecified – any exception thrown by memory errors in standard containers, or by
problem::gradient()
. Returns
the gradient of the fitness function.

bool has_gradient_sparsity() const#
Checks if the inner problem has gradient sparisty implemented.
The
has_gradient_sparsity()
computation is forwarded to the inner problem. Returns
a flag signalling the availability of the gradient sparisty in the inner problem.

sparsity_pattern gradient_sparsity() const#
Gradient sparsity.
The
gradient_sparsity
computation is forwarded to the inner problem. Returns
the gradient sparsity of the inner problem.

bool has_hessians() const#
Checks if the inner problem has hessians.
The
has_hessians()
computation is forwarded to the inner problem. Returns
a flag signalling the availability of the hessians in the inner problem.

std::vector<vector_double> hessians(const vector_double&) const#
Hessians.
The
hessians()
computation is forwarded to the inner problem, after the translation ofx
. Parameters
x – the decision vector.
 Throws
unspecified – any exception thrown by memory errors in standard containers, or by problem::hessians().
 Returns
the hessians of the fitness function computed at
x
.

bool has_hessians_sparsity() const#
Checks if the inner problem has hessians sparisty implemented.
The
has_hessians_sparsity()
computation is forwarded to the inner problem. Returns
a flag signalling the availability of the hessians sparisty in the inner problem.

std::vector<sparsity_pattern> hessians_sparsity() const#
Hessians sparsity.
The
hessians_sparsity()
computation is forwarded to the inner problem. Returns
the hessians sparsity of the inner problem.

bool has_set_seed() const#
Calls
has_set_seed()
of the inner problem.Calls the method
has_set_seed()
of the inner problem. Returns
a flag signalling whether the inner problem is stochastic.

void set_seed(unsigned)#
Calls
set_seed()
of the inner problem.Calls the method
set_seed()
of the inner problem. Parameters
seed – seed to be set.
 Throws
unspecified – any exception thrown by the method
set_seed()
of the inner problem.

std::string get_name() const#
Problem name.
This method will add
[translated]
to the name provided by the inner problem. Throws
unspecified – any exception thrown by
problem::get_name()
or memory errors in standard classes. Returns
a string containing the problem name.

std::string get_extra_info() const#
Extra info.
This method will append a description of the translation vector to the extra info provided by the inner problem.
 Throws
unspecified – any exception thrown by problem::get_extra_info(), the public interface of
std::ostringstream
or memory errors in standard classes. Returns
a string containing extra info on the problem.

const vector_double &get_translation() const#
Get the translation vector.
 Returns
a reference to the translation vector.

thread_safety get_thread_safety() const#
Problem’s thread safety level.
The thread safety of a metaproblem is defined by the thread safety of the inner pagmo::problem.
 Returns
the thread safety level of the inner pagmo::problem.

const problem &get_inner_problem() const#
Getter for the inner problem.
Returns a const reference to the inner pagmo::problem.
 Returns
a const reference to the inner pagmo::problem.

problem &get_inner_problem()#
Getter for the inner problem.
Returns a reference to the inner pagmo::problem.
Note
The ability to extract a non const reference is provided only in order to allow to call nonconst methods on the internal
pagmo::problem
instance. Assigning a newpagmo::problem
via this reference is undefined behaviour. Returns
a reference to the inner pagmo::problem.

translate()#