def evaluate(self,
global_decision_vector = None,
local_decision_vector = None):
# import statements
from revenue import calculate_revenue
from cost import calculate_cost
# setting global decision vector
if global_decision_vector == None: self.set_global_decisions()
else: self.set_global_decisions(global_decision_vector)
# setting local decision vector
if local_decision_vector == None: self.set_local_decisions()
else: self.set_local_decisions(local_decision_vector)
# execute the mission
self.execute()
# call the revenue function, which calculates the
#+ revenue generated by the mission
calculate_revenue(self)
# call the cost function, which calculates the cost
#+ of the mission
calculate_cost(self)
# add a 'profit' attribute to the mission
self.profit = self.revenue - self.cost
def _evaluate(self, decision_vector):
# import statements
import solarsystem_objects_parameters as ss
from numpy.linalg import norm
from numpy import array
from copy import copy, deepcopy
from revenue import calculate_revenue
from cost import calculate_cost
from time import sleep
# make a copy of the actual mission and its ntr to optimize on
mission_copy = deepcopy(self)
mission_copy.set_local_decisions(decision_vector)
# debug print statements
if self.DEBUG: print ('\n ---- Starting a New Iteration ---- \n')
if self.DEBUG: print ('--- Memory Locations ---')
if self.DEBUG: print (' mission level ')
if self.DEBUG: print mission_copy
if self.DEBUG: print self
if self.DEBUG: print ''
if self.DEBUG: print (' 1 sub level ')
if self.DEBUG: print mission_copy.ntr
if self.DEBUG: print self.ntr
if self.DEBUG: print ''
if self.DEBUG: print (' 1 obj sub level 1 attribute level ')
if self.DEBUG: print hex(id(mission_copy.ntr.mass))
if self.DEBUG: print hex(id(self.ntr.mass))
if self.DEBUG: print ''
if self.DEBUG: print (' 2 obj sub levels ')
if self.DEBUG: print mission_copy.ntr.core
if self.DEBUG: print self.ntr.core
if self.DEBUG: print ''
if self.DEBUG: print (' 2 obj ')
if self.DEBUG: print ('-----------------------')
if self.DEBUG: print mission_copy.ntr.mass
if self.DEBUG: print ('self.nso_altitude is: %f ' %self.nso_altitude)
if self.DEBUG: print ('copy.nso_altitude is: %f ' %mission_copy.nso_altitude)
if self.DEBUG: print ('nso_altitude: %.12f ' %decision_vector[0])
if self.DEBUG: print ('self.ntr.sma %f ' %self.ntr.sma)
if self.DEBUG: print ('copy.ntr.sma %f ' %mission_copy.ntr.sma)
if self.DEBUG: print ('mission_copy parameters')
if self.DEBUG: print ('core thrust is: %f ' %mission_copy.ntr.core.thrust)
if self.DEBUG: print ('core mass is: %f ' %mission_copy.ntr.core.mass)
if self.DEBUG: print ('ntr mass is: %f ' %mission_copy.ntr.mass)
if self.DEBUG: print ('self parameters')
if self.DEBUG: print ('core thrust is: %f ' %self.ntr.core.thrust)
if self.DEBUG: print ('core mass is: %f ' %self.ntr.core.mass)
if self.DEBUG: print ('ntr mass is: %f ' %self.ntr.mass)
if self.DEBUG: print 'sleep.....'
if self.DEBUG: sleep(5.0)
# execute the mission
mission_copy.execute()
# calculate if feasible/infeasible
pass
# call the revenue function, which calculates the
#+ revenue generated by the mission
calculate_revenue(mission_copy)
# call the cost function, which calculates the cost
#+ of the mission
calculate_cost(mission_copy)
# add a 'profit' attribute to the mission
mission_copy.profit = mission_copy.revenue - mission_copy.cost
# return the mission profit to the inner-loop solver
# return mission_copy.profit
if self.DEBUG: print ('Delta-V: %8.5f ' %(norm(array(mission_copy.ntr.dv1)))) #+ norm(array(self.ntr.dv2))
return norm(array(mission_copy.ntr.dv1)) # + norm(array(mission_copy.ntr.dv2))
