def optimization_step(self, mcs):
"""
THis function implements houklsekeeping associated with running optimization algorithm in a steppable
:param mcs {int}: current mcs
:return: None
"""
if not mcs % self.sim_length_mcs:
if self.optim.stop():
self.stopSimulation()
print('termination by', self.optim.stop())
print('best f-value =', self.optim.result()[1])
print('best solution =', self.optim.result()[0])
if not len(self.X_vec):
self.X_vec = self.optim.ask()
if len(self.f_vec):
# print 'self.X_vec_check=', self.X_vec_check
# print 'self.f_vec=', self.f_vec
self.optim.tell(
self.X_vec_check,
self.f_vec) # do all the real "update" work
self.optim.disp(20) # display info every 20th iteration
self.optim.logger.add() # log another "data line"
self.f_vec = []
self.num_fcn_evals = len(self.X_vec)
self.X_vec_check = deepcopy(self.X_vec)
self.X_current = self.X_vec[0]
if len(self.X_vec_check) != self.num_fcn_evals:
fcn_target = self.minimized_fcn()
self.f_vec.append(fcn_target)
self.X_vec.pop(0)
self.num_fcn_evals -= 1
CompuCellSetup.reset_current_step(0)
self.simulator.setStep(0)
self.clean_cell_field(reset_inventory=True)
self.initial_condition_fcn(self.X_current)
def optimization_step(self, mcs):
"""
THis function implements houklsekeeping associated with running optimization algorithm in a steppable
:param mcs {int}: current mcs
:return: None
"""
if not mcs % self.sim_length_mcs:
if self.optim.stop():
self.stopSimulation()
print('termination by', self.optim.stop())
print('best f-value =', self.optim.result()[1])
print('best solution =', self.optim.result()[0])
if not len(self.X_vec):
self.X_vec = self.optim.ask()
if len(self.f_vec):
# print 'self.X_vec_check=', self.X_vec_check
# print 'self.f_vec=', self.f_vec
self.optim.tell(self.X_vec_check, self.f_vec) # do all the real "update" work
self.optim.disp(20) # display info every 20th iteration
self.optim.logger.add() # log another "data line"
self.f_vec = []
self.num_fcn_evals = len(self.X_vec)
self.X_vec_check = deepcopy(self.X_vec)
self.X_current = self.X_vec[0]
if len(self.X_vec_check) != self.num_fcn_evals:
fcn_target = self.minimized_fcn()
self.f_vec.append(fcn_target)
self.X_vec.pop(0)
self.num_fcn_evals -= 1
CompuCellSetup.reset_current_step(0)
self.simulator.setStep(0)
self.clean_cell_field(reset_inventory=True)
self.initial_condition_fcn(self.X_current)
