def one_each(prob):
bvs = []
for index, loc in enumerate(LOCATIONS):
lc = [PRODUCTS[index]]
waste = CAPACITY - REQUIREMENT[PRODUCTS[index]]
var_values = [(assign_vars[(loc, j)], 1) for j in lc]
var_values.append((use_vars[loc], 1))
var_values.append((waste_vars[loc], waste))
dv = dippy.DecompVar(var_values, None, waste)
bvs.append((loc, dv))
return bvs
def first_fit(prob):
locations = first_fit_heuristic()
bvs = []
index = 0
for loc in locations:
i = LOCATIONS[index]
var_values = [(assign_vars[(i, j)], 1) for j in loc[0]]
var_values.append((use_vars[i], 1))
var_values.append((waste_vars[i], loc[1]))
dv = dippy.DecompVar(var_values, None, loc[1])
bvs.append((i, dv))
index += 1
return bvs