Multithreaded BFE#

New in version 2.11.

#include <pagmo/batch_evaluators/thread_bfe.hpp>

class thread_bfe#

This class is a user-defined batch fitness evaluator (UDBFE) that can be used to construct a bfe. thread_bfe will use multiple threads of execution to parallelise the evaluation of the fitnesses of a batch of input decision vectors.

vector_double operator()(problem p, const vector_double &dvs) const#

Call operator.

The call operator will use the input problem p to evaluate the fitnesses of the decision vectors stored contiguously in dvs. The fitness evaluation will be run in parallel using multiple threads of execution. Because of this, the input problem p must provide at least the basic thread safety level, otherwise an exception will be raised (see pagmo::problem::get_thread_safety()).

If p provides at least the constant thread safety level, then p will be shared across multiple threads and its fitness() function will be called simultaneously from different threads. Otherwise, copies of p will be created and the fitness() function will be called on these copies.

  • p – the input problem.

  • dvs – the input decision vectors that will be evaluated.


the fitness vectors corresponding to the input decision vectors in dvs.

  • std::invalid_argument – if p does not provide at least the basic thread safety level.

  • std::overflow_error – in case of (unlikely) internal overflow conditions.

  • unspecified – any exception raised by memory allocation failures or by the public API of problem.

std::string get_name() const#

a human-readable name for this thread_bfe.