/** * @brief Allocates a problem constructed by stacking two COCO problems. * * This is particularly useful for generating multi-objective problems, e.g. a bi-objective problem from two * single-objective problems. The stacked problem must behave like a normal COCO problem accepting the same * input. The region of interest in the decision space is defined by parameters smallest_values_of_interest * and largest_values_of_interest, which are two arrays of size equal to the dimensionality of both problems. * * @note Regions of interest in the decision space must either agree or at least one of them must be NULL. * @note Best parameter becomes somewhat meaningless, but the nadir value make sense now. */ static coco_problem_t *coco_problem_stacked_allocate(coco_problem_t *problem1, coco_problem_t *problem2, const double *smallest_values_of_interest, const double *largest_values_of_interest) { const size_t number_of_variables = coco_problem_get_dimension(problem1); const size_t number_of_objectives = coco_problem_get_number_of_objectives(problem1) + coco_problem_get_number_of_objectives(problem2); const size_t number_of_constraints = coco_problem_get_number_of_constraints(problem1) + coco_problem_get_number_of_constraints(problem2); size_t i; char *s; coco_problem_stacked_data_t *data; coco_problem_t *problem; /* the new coco problem */ assert(coco_problem_get_dimension(problem1) == coco_problem_get_dimension(problem2)); problem = coco_problem_allocate(number_of_variables, number_of_objectives, number_of_constraints); s = coco_strconcat(coco_problem_get_id(problem1), "__"); problem->problem_id = coco_strconcat(s, coco_problem_get_id(problem2)); coco_free_memory(s); s = coco_strconcat(coco_problem_get_name(problem1), " + "); problem->problem_name = coco_strconcat(s, coco_problem_get_name(problem2)); coco_free_memory(s); problem->evaluate_function = coco_problem_stacked_evaluate_function; if (number_of_constraints > 0) problem->evaluate_constraint = coco_problem_stacked_evaluate_constraint; assert(smallest_values_of_interest); assert(largest_values_of_interest); for (i = 0; i < number_of_variables; ++i) { problem->smallest_values_of_interest[i] = smallest_values_of_interest[i]; problem->largest_values_of_interest[i] = largest_values_of_interest[i]; } if (problem->best_parameter) /* logger_bbob doesn't work then anymore */ coco_free_memory(problem->best_parameter); problem->best_parameter = NULL; /* Compute the ideal and nadir values */ assert(problem->best_value); assert(problem->nadir_value); problem->best_value[0] = problem1->best_value[0]; problem->best_value[1] = problem2->best_value[0]; coco_evaluate_function(problem1, problem2->best_parameter, &problem->nadir_value[0]); coco_evaluate_function(problem2, problem1->best_parameter, &problem->nadir_value[1]); /* setup data holder */ data = (coco_problem_stacked_data_t *) coco_allocate_memory(sizeof(*data)); data->problem1 = problem1; data->problem2 = problem2; problem->data = data; problem->problem_free_function = coco_problem_stacked_free; return problem; }
/** * Return a problem that stacks the output of two problems, namely * of coco_evaluate_function and coco_evaluate_constraint. The accepted * input remains the same and must be identical for the stacked * problems. * * This is particularly useful to generate multiobjective problems, * e.g. a biobjective problem from two single objective problems. * * Details: regions of interest must either agree or at least one * of them must be NULL. Best parameter becomes somewhat meaningless. */ coco_problem_t *coco_stacked_problem_allocate(coco_problem_t *problem1, coco_problem_t *problem2, void *userdata, coco_stacked_problem_free_data_t free_data) { const size_t number_of_variables = coco_problem_get_dimension(problem1); const size_t number_of_objectives = coco_problem_get_number_of_objectives(problem1) + coco_problem_get_number_of_objectives(problem2); const size_t number_of_constraints = coco_problem_get_number_of_constraints(problem1) + coco_problem_get_number_of_constraints(problem2); size_t i; char *s; const double *smallest, *largest; coco_stacked_problem_data_t *data; coco_problem_t *problem; /* the new coco problem */ assert(coco_problem_get_dimension(problem1) == coco_problem_get_dimension(problem2)); problem = coco_problem_allocate(number_of_variables, number_of_objectives, number_of_constraints); s = coco_strconcat(coco_problem_get_id(problem1), "__"); problem->problem_id = coco_strconcat(s, coco_problem_get_id(problem2)); coco_free_memory(s); s = coco_strconcat(coco_problem_get_name(problem1), " + "); problem->problem_name = coco_strconcat(s, coco_problem_get_name(problem2)); coco_free_memory(s); problem->evaluate_function = coco_stacked_problem_evaluate; if (number_of_constraints > 0) problem->evaluate_constraint = coco_stacked_problem_evaluate_constraint; /* set/copy "boundaries" and best_parameter */ smallest = problem1->smallest_values_of_interest; if (smallest == NULL) smallest = problem2->smallest_values_of_interest; largest = problem1->largest_values_of_interest; if (largest == NULL) largest = problem2->largest_values_of_interest; for (i = 0; i < number_of_variables; ++i) { if (problem2->smallest_values_of_interest != NULL) assert(smallest[i] == problem2->smallest_values_of_interest[i]); if (problem2->largest_values_of_interest != NULL) assert(largest[i] == problem2->largest_values_of_interest[i]); if (smallest != NULL) problem->smallest_values_of_interest[i] = smallest[i]; if (largest != NULL) problem->largest_values_of_interest[i] = largest[i]; if (problem->best_parameter) /* bbob2009 logger doesn't work then anymore */ coco_free_memory(problem->best_parameter); problem->best_parameter = NULL; if (problem->best_value) coco_free_memory(problem->best_value); problem->best_value = NULL; /* bbob2009 logger doesn't work */ } /* setup data holder */ data = coco_allocate_memory(sizeof(*data)); data->problem1 = problem1; data->problem2 = problem2; data->data = userdata; data->free_data = free_data; problem->data = data; problem->free_problem = coco_stacked_problem_free; /* free self->data and coco_problem_free(self) */ return problem; }