Created
June 6, 2018 02:43
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from gurobipy import * | |
import random | |
# Data and ranges | |
nHospitalSites = 30 | |
nSuburbs = 55 | |
MaxSuburbsPerHospital = 7 | |
MaxPopulation = 500000 | |
H = range(nHospitalSites) | |
S = range(nSuburbs) | |
random.seed(3) | |
FixedCost = [random.randint(5000000,10000000) for h in H] | |
Population = [random.randint(60000,90000) for s in S] | |
# Travel distance - multiply by population moved to get travel cost | |
Dist = [[random.randint(0,50) for s in S] for h in H] | |
# Set up model and set the gap on the answer to 0 | |
m = Model() | |
m.setParam('MIPGap', 0) | |
X = { (s, h): m.addVar(vtype = GRB.BINARY) for s in S for h in H } | |
m.setObjective(quicksum((FixedCost[h] + Dist[h][s]*Population[s])*X[s,h] for s in S for h in H), GRB.MINIMIZE) | |
for h in H: | |
m.addConstr(quicksum(X[s,h] for s in S) <= MaxSuburbsPerHospital) | |
for h in H: | |
m.addConstr(quicksum(X[s,h]*Population[s] for s in S) <= MaxPopulation) | |
for s in S: | |
m.addConstr(quicksum(X[s,h] for h in H) == 1) | |
m.optimize() | |
for h in H: | |
for s in S: | |
if X[s,h].x == 1: | |
print "Make this hospital: " + str(h) |
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