/**
* Perform monotone oscillation transformation on input variables.
*/
static coco_problem_t *f_transform_vars_brs(coco_problem_t *inner_problem) {
transform_vars_brs_data_t *data;
coco_problem_t *self;
data = coco_allocate_memory(sizeof(*data));
data->x = coco_allocate_vector(inner_problem->number_of_variables);
self = coco_transformed_allocate(inner_problem, data, transform_vars_brs_free);
self->evaluate_function = transform_vars_brs_evaluate;
return self;
}
/**
* Oscillate the objective value of the inner problem.
*
* Caveat: this can change best_parameter and best_value.
*/
static coco_problem_t *f_transform_obj_oscillate(coco_problem_t *inner_problem) {
coco_problem_t *self;
self = coco_transformed_allocate(inner_problem, NULL, NULL);
self->evaluate_function = transform_obj_oscillate_evaluate;
/* Compute best value */
/* Maybe not the most efficient solution */
transform_obj_oscillate_evaluate(self, self->best_parameter, self->best_value);
return self;
}
/**
* Perform monotone oscillation(?) transformation on input variables.
*/
static coco_problem_t *f_transform_vars_conditioning(coco_problem_t *inner_problem, const double alpha) {
transform_vars_conditioning_data_t *data;
coco_problem_t *self;
data = coco_allocate_memory(sizeof(*data));
data->x = coco_allocate_vector(inner_problem->number_of_variables);
data->alpha = alpha;
self = coco_transformed_allocate(inner_problem, data, transform_vars_conditioning_free);
self->evaluate_function = transform_vars_conditioning_evaluate;
return self;
}
/**
* Perform monotone oscillation transformation on input variables.
*/
static coco_problem_t *f_transform_vars_asymmetric(coco_problem_t *inner_problem, const double beta) {
transform_vars_asymmetric_data_t *data;
coco_problem_t *self;
data = coco_allocate_memory(sizeof(*data));
data->x = coco_allocate_vector(inner_problem->number_of_variables);
data->beta = beta;
self = coco_transformed_allocate(inner_problem, data, transform_vars_asymmetric_free);
self->evaluate_function = transform_vars_asymmetric_evaluate;
return self;
}
/**
* Shift the objective value of the inner problem by offset.
*/
static coco_problem_t *f_transform_obj_shift(coco_problem_t *inner_problem, const double offset) {
coco_problem_t *self;
transform_obj_shift_data_t *data;
data = coco_allocate_memory(sizeof(*data));
data->offset = offset;
self = coco_transformed_allocate(inner_problem, data, NULL);
self->evaluate_function = transform_obj_shift_evaluate;
self->best_value[0] += offset; /* FIXME: shifts only the first objective */
return self;
}
/*
* Shift all variables of ${inner_problem} by ${offset}.
*/
static coco_problem_t *f_transform_vars_shift(coco_problem_t *inner_problem,
const double *offset,
const int shift_bounds) {
transform_vars_shift_data_t *data;
coco_problem_t *self;
if (shift_bounds)
coco_error("shift_bounds not implemented.");
data = coco_allocate_memory(sizeof(*data));
data->offset = coco_duplicate_vector(offset, inner_problem->number_of_variables);
data->shifted_x = coco_allocate_vector(inner_problem->number_of_variables);
self = coco_transformed_allocate(inner_problem, data, transform_vars_shift_free);
self->evaluate_function = transform_vars_shift_evaluate;
return self;
}
static coco_problem_t *logger_bbob2009(coco_problem_t *inner_problem, const char *alg_name) {
logger_bbob2009_t *data;
coco_problem_t *self;
data = coco_allocate_memory(sizeof(*data));
data->alg_name = coco_strdup(alg_name);
if (bbob2009_logger_is_open)
coco_error("The current bbob2009_logger (observer) must be closed before a new one is opened");
/* This is the name of the folder which happens to be the algName */
data->path = coco_strdup(alg_name);
data->index_file = NULL;
data->fdata_file = NULL;
data->tdata_file = NULL;
data->rdata_file = NULL;
data->number_of_variables = inner_problem->number_of_variables;
if (inner_problem->best_value == NULL) {
/* coco_error("Optimal f value must be defined for each problem in order for the logger to work properly"); */
/* Setting the value to 0 results in the assertion y>=optimal_fvalue being susceptible to failure */
coco_warning("undefined optimal f value. Set to 0");
data->optimal_fvalue = 0;
} else {
data->optimal_fvalue = *(inner_problem->best_value);
}
bbob2009_raisedOptValWarning = 0;
data->idx_f_trigger = INT_MAX;
data->idx_t_trigger = 0;
data->idx_tdim_trigger = 0;
data->f_trigger = DBL_MAX;
data->t_trigger = 0;
data->number_of_evaluations = 0;
data->best_solution = coco_allocate_vector(inner_problem->number_of_variables);
/* TODO: the following inits are just to be in the safe side and
* should eventually be removed. Some fields of the bbob2009_logger struct
* might be useless
*/
data->function_id = coco_problem_get_suite_dep_function_id(inner_problem);
data->instance_id = coco_problem_get_suite_dep_instance_id(inner_problem);
data->written_last_eval = 1;
data->last_fvalue = DBL_MAX;
data->is_initialized = 0;
self = coco_transformed_allocate(inner_problem, data, logger_bbob2009_free);
self->evaluate_function = logger_bbob2009_evaluate;
bbob2009_logger_is_open = 1;
return self;
}
/*
* Perform an affine transformation of the variable vector:
*
* x |-> Mx + b
*
* The matrix M is stored in row-major format.
*/
static coco_problem_t *f_transform_vars_affine(coco_problem_t *inner_problem,
const double *M,
const double *b,
const size_t number_of_variables) {
coco_problem_t *self;
transform_vars_affine_data_t *data;
size_t entries_in_M;
entries_in_M = inner_problem->number_of_variables * number_of_variables;
data = coco_allocate_memory(sizeof(*data));
data->M = coco_duplicate_vector(M, entries_in_M);
data->b = coco_duplicate_vector(b, inner_problem->number_of_variables);
data->x = coco_allocate_vector(inner_problem->number_of_variables);
self = coco_transformed_allocate(inner_problem, data, transform_vars_affine_free);
self->evaluate_function = transform_vars_affine_evaluate;
return self;
}
/**
* Initializes the toy logger.
*/
static coco_problem_t *logger_toy(coco_observer_t *observer, coco_problem_t *problem) {
logger_toy_t *logger;
coco_problem_t *self;
FILE *output_file;
if (problem->number_of_objectives != 1) {
coco_warning("logger_toy(): The toy logger shouldn't be used to log a problem with %d objectives", problem->number_of_objectives);
}
logger = coco_allocate_memory(sizeof(*logger));
logger->observer = observer;
logger->next_target = 0;
logger->number_of_evaluations = 0;
output_file = ((observer_toy_t *) logger->observer->data)->log_file;
fprintf(output_file, "\n%s, %s\n", coco_problem_get_id(problem), coco_problem_get_name(problem));
self = coco_transformed_allocate(problem, logger, NULL);
self->evaluate_function = logger_toy_evaluate;
return self;
}
