jshbrmn/irt-service
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

tighten up tif and tcc targets

Browse Source
This commit is contained in:
Joshua Burman 2022-02-09 13:10:29 -05:00
parent 52615ab663
commit b720dfa352
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
app/services/loft_service.py
View File

@ -95,7 +95,7 @@ class LoftService(Base):
return solution
def recursive_solve(self, items, bundles_amount, attempts = 1000) -> LpProblem:
def recursive_solve(self, items, bundles_amount, attempts = 5000) -> LpProblem:
selected_bundles = solver_helper.get_random_bundles(
self.solver_run.total_form_items,
bundles_amount,
@ -127,15 +127,15 @@ 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 - 8, f'max tif theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) >= target.value - target.value * 0.2, 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 + 8, f'min tif theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) <= target.value + target.value * 0.2, 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 - 20, f'max tcc theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) >= target.value - target.value * 0.1, 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 + 20, f'min tcc theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) <= target.value + target.value * 0.1, f'min tcc theta ({target.theta}) target value {target.value}'
# solve problem
problem.solve()