def update_stats_for_method_pair(self, destroy: Method, repair: Method, sol: Solution, res: Result, obj_old: TObj,
t_destroy: float, t_repair: float):
"""Update statistics, incumbent and check termination condition after having performed a destroy+repair."""
if __debug__ and self.own_settings.mh_checkit:
sol.check()
ms_destroy = self.method_stats[destroy.name]
ms_destroy.applications += 1
ms_destroy.netto_time += t_destroy
ms_destroy.brutto_time += t_destroy
ms_repair = self.method_stats[repair.name]
ms_repair.applications += 1
ms_repair.netto_time += t_repair
ms_repair.brutto_time += t_repair
obj_new = sol.obj()
if sol.is_better_obj(sol.obj(), obj_old):
ms_destroy.successes += 1
ms_destroy.obj_gain += obj_new - obj_old
ms_repair.successes += 1
ms_repair.obj_gain += obj_new - obj_old
self.iteration += 1
new_incumbent = self.update_incumbent(sol, time.process_time() - self.time_start)
terminate = self.check_termination()
self.log_iteration(destroy.name+'+'+repair.name, obj_old, sol, new_incumbent,
terminate, res.log_info)
if terminate:
self.run_time = time.process_time() - self.time_start
res.terminate = True
def perform_method(self,
method: Method,
sol: Solution,
delayed_success=False) -> Result:
"""Perform method on given solution and returns Results object.
Also updates incumbent, iteration and the method's statistics in method_stats.
Furthermore checks the termination condition and eventually sets terminate in the returned Results object.
:param method: method to be performed
:param sol: solution to which the method is applied
:param delayed_success: if set the success is not immediately determined and updated but at some later
call of delayed_success_update()
:returns: Results object
"""
res = Result()
obj_old = sol.obj()
##### logging for visualisation
if self.step_logger.hasHandlers():
sol_str, inc_str = f'{sol}'.replace(
'\n', ' '), f'{self.incumbent}'.replace('\n', ' ')
step_info = f'START\nSOL: {sol_str}\nOBJ: {obj_old}\nM: {method.name}\n' + \
f'PAR: {method.par}\nINC: {inc_str}\nBEST: {self.incumbent.obj()}'
self.step_logger.info(step_info)
#################
t_start = time.process_time()
method.func(sol, method.par, res)
t_end = time.process_time()
if __debug__ and self.own_settings.mh_checkit:
sol.check()
ms = self.method_stats[method.name]
ms.applications += 1
ms.netto_time += t_end - t_start
obj_new = sol.obj()
if not delayed_success:
ms.brutto_time += t_end - t_start
if sol.is_better_obj(sol.obj(), obj_old):
ms.successes += 1
ms.obj_gain += obj_new - obj_old
self.iteration += 1
new_incumbent = self.update_incumbent(sol, t_end - self.time_start)
##### logging for visualisation
if self.step_logger.hasHandlers():
sol_str, inc_str = f'{sol}'.replace(
'\n', ' '), f'{self.incumbent}'.replace('\n', ' ')
step_info = f'END\nSOL: {sol_str}\nOBJ: {sol.obj()}\nM: {method.name}\n' + \
f'PAR: {method.par}\nINC: {inc_str}\nBEST: {self.incumbent.obj()}\nBETTER: {new_incumbent}'
self.step_logger.info(step_info)
#################
terminate = self.check_termination()
self.log_iteration(method.name, obj_old, sol, new_incumbent, terminate,
res.log_info)
if terminate:
self.run_time = time.process_time() - self.time_start
res.terminate = True
return res
def perform_method(self,
method: Method,
sol: Solution,
delayed_success=False) -> Result:
"""Perform method on given solution and returns Results object.
Also updates incumbent, iteration and the method's statistics in method_stats.
Furthermore checks the termination condition and eventually sets terminate in the returned Results object.
:param method: method to be performed
:param sol: solution to which the method is applied
:param delayed_success: if set the success is not immediately determined and updated but at some later
call of delayed_success_update()
:returns: Results object
"""
res = Result()
obj_old = sol.obj()
t_start = time.process_time()
method.func(sol, method.par, res)
t_end = time.process_time()
if __debug__ and self.own_settings.mh_checkit:
sol.check()
ms = self.method_stats[method.name]
ms.applications += 1
ms.netto_time += t_end - t_start
obj_new = sol.obj()
if not delayed_success:
ms.brutto_time += t_end - t_start
if sol.is_better_obj(sol.obj(), obj_old):
ms.successes += 1
ms.obj_gain += obj_new - obj_old
self.iteration += 1
new_incumbent = self.update_incumbent(sol, t_end - self.time_start)
terminate = self.check_termination()
self.log_iteration(method.name, obj_old, sol, new_incumbent, terminate,
res.log_info)
if terminate:
self.run_time = time.process_time() - self.time_start
res.terminate = True
return res