Files
ortools-clone/examples/python/knapsack.py
2013-06-11 14:51:51 +00:00

54 lines
1.7 KiB
Python

# Copyright 2010-2013 Google
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Bi-dimensional knapsack problem."""
from google.apputils import app
import gflags
from algorithms import pywrapknapsack_solver
FLAGS = gflags.FLAGS
def main(unused_argv):
# Create the solver.
solver = pywrapknapsack_solver.KnapsackSolver(
pywrapknapsack_solver.KnapsackSolver.
KNAPSACK_MULTIDIMENSION_BRANCH_AND_BOUND_SOLVER,
'test')
profits = [360, 83, 59, 130, 431, 67, 230, 52, 93,
125, 670, 892, 600, 38, 48, 147, 78, 256,
63, 17, 120, 164, 432, 35, 92, 110, 22,
42, 50, 323, 514, 28, 87, 73, 78, 15,
26, 78, 210, 36, 85, 189, 274, 43, 33,
10, 19, 389, 276, 312]
weights = [[7, 0, 30, 22, 80, 94, 11, 81, 70,
64, 59, 18, 0, 36, 3, 8, 15, 42,
9, 0, 42, 47, 52, 32, 26, 48, 55,
6, 29, 84, 2, 4, 18, 56, 7, 29,
93, 44, 71, 3, 86, 66, 31, 65, 0,
79, 20, 65, 52, 13]]
capacities = [850]
optimal_profit = 7534
solver.Init(profits, weights, capacities)
computed_profit = solver.Solve()
print 'optimal profit = ' + str(computed_profit) + '/' + str(optimal_profit)
if __name__ == '__main__':
app.run()