def cal_Fitness_Value(self, chromo, et_global_solution):
if self.memo_FV.get(tuple(chromo)):
return self.memo_FV[(tuple(chromo))].eti_penalty
p = copy.deepcopy(self.problem)
p.earliness_penalties[
chromo[0]] = p.earliness_penalties[chromo[0]] + p.a
p.tardiness_penalties[
chromo[0]] = p.tardiness_penalties[chromo[0]] - p.a
p.earliness_penalties[chromo[
self.n - 1]] = p.earliness_penalties[chromo[self.n - 1]] - p.a
p.tardiness_penalties[chromo[
self.n - 1]] = p.tardiness_penalties[chromo[self.n - 1]] + p.a
# memos
memo_BT = bt.init_BT_memo(chromo, p.due_dates, p.processing_times)
memo_ET = et.init_ET_memo(chromo, p.due_dates, p.processing_times)
memo_ETI = dp.init_ETI_memo(chromo)
block_lasts, end_times, eti_penalty, _ = dp.opt_ETI(
memo_BT, memo_ET, memo_ETI, et_global_solution, utils.BIG_NUMBER,
chromo, self.n - 1, p)
# if self.iter == 0:
# print(eti_penalty)
real_obj, b_ratio = self.cal_Real_Objective(chromo, block_lasts,
end_times, self.problem)
self.memo_FV[tuple(chromo)] = utils.Solution(block_lasts, end_times,
real_obj, b_ratio)
return real_obj
def cal_Fitness_Value(self, chromo):
if self.memo_FV.get(tuple(chromo)):
return self.memo_FV[(tuple(chromo))].eti_penalty
p = copy.deepcopy(self.problem)
p.earliness_penalties[
chromo[0]] = p.earliness_penalties[chromo[0]] + p.a
p.tardiness_penalties[
chromo[0]] = p.tardiness_penalties[chromo[0]] - p.a
p.earliness_penalties[chromo[
self.n - 1]] = p.earliness_penalties[chromo[self.n - 1]] - p.a
p.tardiness_penalties[chromo[
self.n - 1]] = p.tardiness_penalties[chromo[self.n - 1]] + p.a
# memos
sourd = Sourd(chromo, p)
obj = sourd.run_bounded()
# if self.iter == 0:
# print(eti_penalty)
self.memo_FV[tuple(chromo)] = utils.Solution([0], [0], obj, 0)
return obj