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