# Copyright 2010 Hakan Kjellerstrand hakank@gmail.com # # 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. """ Knapsack problem in Google CP Solver. Simple knapsack problem. This model was created by Hakan Kjellerstrand (hakank@gmail.com) Also see my other Google CP Solver models: http://www.hakank.org/google_or_tools/ """ from __future__ import print_function from ortools.constraint_solver import pywrapcp def knapsack(solver, values, weights, n): z = solver.IntVar(0, 10000) x = [solver.IntVar(0, 1, "x(%i)" % i) for i in range(len(values))] solver.Add(z >= 0) solver.Add(z == solver.ScalProd(x, values)) solver.Add(solver.ScalProd(x, weights) <= n) return [x, z] def main(values, weights, n): # Create the solver. solver = pywrapcp.Solver("knapsack_cp") # # data # print("values:", values) print("weights:", weights) print("n:", n) print() # declare variables # # constraints # [x, z] = knapsack(solver, values, weights, n) # objective objective = solver.Maximize(z, 1) # # solution and search # solution = solver.Assignment() solution.Add(x) solution.Add(z) # db: DecisionBuilder db = solver.Phase(x, solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MAX_VALUE) solver.NewSearch(db, [objective]) num_solutions = 0 while solver.NextSolution(): print("x:", [x[i].Value() for i in range(len(values))]) print("z:", z.Value()) print() num_solutions += 1 solver.EndSearch() print() print("num_solutions:", num_solutions) print("failures:", solver.Failures()) print("branches:", solver.Branches()) print("WallTime:", solver.WallTime()) values = [15, 100, 90, 60, 40, 15, 10, 1, 12, 12, 100] weights = [2, 20, 20, 30, 40, 30, 60, 10, 21, 12, 2] n = 102 if __name__ == "__main__": main(values, weights, n)