def test_many_nodes(self):
# Test with 15 nodes to ensure branch and bound doesn't fail
depot = (0, 0)
trucks = [cvrp.Truck(truck_id="t1", capacity=100, per_mile_cost=0, max_dist=100)]
deliveries = [cvrp.Delivery(delivery_id="d1", location=(0, 1), profit=10, size=1),
cvrp.Delivery(delivery_id="d2", location=(0, 2), profit=10, size=1),
cvrp.Delivery(delivery_id="d3", location=(0, 3), profit=10, size=1),
cvrp.Delivery(delivery_id="d4", location=(0, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d5", location=(1, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d6", location=(2, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d7", location=(3, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d8", location=(4, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d9", location=(4, 3), profit=10, size=1),
cvrp.Delivery(delivery_id="d10", location=(4, 2), profit=10, size=1),
cvrp.Delivery(delivery_id="d11", location=(4, 1), profit=10, size=1),
cvrp.Delivery(delivery_id="d12", location=(4, 0), profit=10, size=1),
cvrp.Delivery(delivery_id="d13", location=(3, 0), profit=10, size=1),
cvrp.Delivery(delivery_id="d14", location=(2, 0), profit=10, size=1),
cvrp.Delivery(delivery_id="d15", location=(1, 0), profit=10, size=1)]
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
opt.solve()
try:
self.assertEqual(opt.mip_result.fun, -150)
except AssertionError:
debug_model(opt)
raise
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
print("Decoding...")
str_obj = body.decode("utf-8")
print(f"Decoded object: {str_obj}")
data = json.loads(str_obj)
print("JSON data object:")
print(json.dumps(data, sort_keys=True, indent=4))
# TODO: Get depot and truck data
print("Constructing model...")
depot = (0, 0)
trucks = [
cvrp.Truck(truck_id="t1", capacity=10, per_mile_cost=0, max_dist=100)
]
# TODO: Add size to message payload
deliveries = [
cvrp.Delivery(delivery_id=f"d{i}",
location=(line_item["SiteLatitude"],
line_item["SiteLongitude"]),
profit=line_item["Profit"],
size=line_item["Weight"])
for i, line_item in enumerate(data)
]
print(f"Deliveries: {deliveries}")
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
print("Solving...")
opt.solve()
print(f"Done solving. Result: {opt.mip_result}")
def test_per_mile_cost_basic(self):
# 1 mile out, 1 mile back at cost of 1 per mile and 10 profit.
depot = (0, 0)
trucks = [cvrp.Truck(truck_id="t1", capacity=10, per_mile_cost=1, max_dist=100)]
deliveries = [cvrp.Delivery(delivery_id="d1", location=(0, 1), profit=10, size=1)]
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
opt.solve()
try:
self.assertEqual(opt.mip_result.fun, -8)
except AssertionError:
debug_model(opt)
raise
def test_profit_multiple_deliveries(self):
depot = (0, 0)
trucks = [cvrp.Truck(truck_id="t1", capacity=10, per_mile_cost=0, max_dist=100)]
deliveries = [cvrp.Delivery(delivery_id="d1", location=(0, 1), profit=10, size=1),
cvrp.Delivery(delivery_id="d2", location=(0, 2), profit=10, size=1)]
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
opt.solve()
try:
self.assertEqual(opt.mip_result.fun, -20)
except AssertionError:
debug_model(opt)
raise
def test_per_mile_cost_negative_distances(self):
# Should have the exact same profit as the basic example, just with negative locations.
depot = (0, 0)
trucks = [cvrp.Truck(truck_id="t1", capacity=10, per_mile_cost=1, max_dist=100)]
deliveries = [cvrp.Delivery(delivery_id="d1", location=(0, -1), profit=10, size=1)]
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
opt.solve()
try:
self.assertEqual(opt.mip_result.fun, -8)
except AssertionError:
debug_model(opt)
raise
def test_max_dist_skip_furthest(self):
# Skip 2nd, farther away, delivery
depot = (0, 0)
trucks = [cvrp.Truck(truck_id="t1", capacity=100, per_mile_cost=0, max_dist=2)]
deliveries = [cvrp.Delivery(delivery_id="d1", location=(0, 1), profit=10, size=1),
cvrp.Delivery(delivery_id="d2", location=(2, 0), profit=9, size=1)]
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
opt.solve()
try:
self.assertEqual(opt.mip_result.fun, -10)
except AssertionError:
debug_model(opt)
raise
def test_capacity_basic(self):
# Can't fit both, so pick the more profitable delivery (10 > 9).
depot = (0, 0)
trucks = [cvrp.Truck(truck_id="t1", capacity=1, per_mile_cost=0, max_dist=100)]
deliveries = [cvrp.Delivery(delivery_id="d1", location=(0, 1), profit=9, size=1),
cvrp.Delivery(delivery_id="d2", location=(1, 0), profit=10, size=1)]
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
opt.solve()
try:
self.assertEqual(opt.mip_result.fun, -10)
except AssertionError:
debug_model(opt)
raise
import cvrp
import time
depot = (0, 0)
trucks = [cvrp.Truck(truck_id="t1", capacity=100, per_mile_cost=0, max_dist=100)]
deliveries = [cvrp.Delivery(delivery_id="d1", location=(0, 1), profit=10, size=1),
cvrp.Delivery(delivery_id="d2", location=(0, 2), profit=10, size=1),
cvrp.Delivery(delivery_id="d3", location=(0, 3), profit=10, size=1),
cvrp.Delivery(delivery_id="d4", location=(0, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d5", location=(1, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d6", location=(2, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d7", location=(3, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d8", location=(4, 4), profit=10, size=1),
cvrp.Delivery(delivery_id="d9", location=(4, 3), profit=10, size=1),
cvrp.Delivery(delivery_id="d10", location=(4, 2), profit=10, size=1),
cvrp.Delivery(delivery_id="d11", location=(4, 1), profit=10, size=1),
cvrp.Delivery(delivery_id="d12", location=(4, 0), profit=10, size=1),
cvrp.Delivery(delivery_id="d13", location=(3, 0), profit=10, size=1),
cvrp.Delivery(delivery_id="d14", location=(2, 0), profit=10, size=1),
cvrp.Delivery(delivery_id="d15", location=(1, 0), profit=10, size=1)]
opt = cvrp.CVRP(depot_location=depot, trucks=trucks, deliveries=deliveries)
opt.init_all()
times = []
n = 10
for _ in range(n):
start = time.time()
opt.solve()
end = time.time()
times.append(end - start)
print(f"After {n} iterations, average runtime of {sum(times) / len(times)}s")
