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tif, tcc tweaks

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This commit is contained in:
Joshua Burman 2022-02-09 14:37:39 -05:00
parent bdc67111b5
commit 2232b3342c
1 changed files with 9 additions and 8 deletions
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17
app/services/loft_service.py
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@ -79,8 +79,7 @@ class LoftService(Base):
problem = None
if bundle_constraint:
bundles_amount = random.randint(int(bundle_constraint.minimum), int(bundle_constraint.maximum))
problem = self.recursive_solve(items, bundles_amount)
problem = self.recursive_solve(items, int(bundle_constraint.minimum), int(bundle_constraint.maximum))
else: # no bundles
problem = self.solve(items)
@ -95,7 +94,9 @@ class LoftService(Base):
return solution
def recursive_solve(self, items, bundles_amount, attempts = 1000) -> LpProblem:
def recursive_solve(self, items, min, max, attempts = 800) -> LpProblem:
bundles_amount = random.randint(min, max)
logging.info(f'min: {min}, max: {max}, bundles amount: {bundles_amount}')
selected_bundles = solver_helper.get_random_bundles(
self.solver_run.total_form_items,
bundles_amount,
@ -109,7 +110,7 @@ class LoftService(Base):
else:
logging.info('recursing...')
logging.info(attempts)
return self.recursive_solve(items, bundles_amount, attempts - 1)
return self.recursive_solve(items, min, max, attempts - 1)
def solve(self, items: list[Item], bundles: list[Bundle] or None = None) -> LpProblem:
# create problem
@ -129,15 +130,15 @@ class LoftService(Base):
# multi-objective constraints
for target in self.solver_run.objective_function.tif_targets:
problem += lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) >= target.value - target.value * 0.2, f'max tif theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) >= target.value - 4, f'max tif theta ({target.theta}) target value {target.value}'
problem += lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) <= target.value + target.value * 0.2, f'min tif theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) <= target.value + 4, f'min tif theta ({target.theta}) target value {target.value}'
for target in self.solver_run.objective_function.tcc_targets:
problem += lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) >= target.value - target.value * 0.1, f'max tcc theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) >= target.value - 18, f'max tcc theta ({target.theta}) target value {target.value}'
problem += lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) <= target.value + target.value * 0.1, f'min tcc theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) <= target.value + 18, f'min tcc theta ({target.theta}) target value {target.value}'
# solve problem
problem.solve()