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Ignore:
Timestamp:
01/24/17 09:31:29 (7 years ago)
Author:
jkarder
Message:

#2205: worked on optimization networks

  • created separate project for ttp optimization
  • removed some unused classes
Location:
branches/OptimizationNetworks/HeuristicLab.Networks.IntegratedOptimization.TravelingThief
Files:
3 added
1 copied

Legend:

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  • branches/OptimizationNetworks/HeuristicLab.Networks.IntegratedOptimization.TravelingThief/3.3/Problems/TourProfitProblem.cs

    r14598 r14601  
    1 using System.Collections.Generic;
     1#region License Information
     2/* HeuristicLab
     3 * Copyright (C) 2002-2017 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
     4 *
     5 * This file is part of HeuristicLab.
     6 *
     7 * HeuristicLab is free software: you can redistribute it and/or modify
     8 * it under the terms of the GNU General Public License as published by
     9 * the Free Software Foundation, either version 3 of the License, or
     10 * (at your option) any later version.
     11 *
     12 * HeuristicLab is distributed in the hope that it will be useful,
     13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
     14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     15 * GNU General Public License for more details.
     16 *
     17 * You should have received a copy of the GNU General Public License
     18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
     19 */
     20#endregion
     21
     22using System.Collections.Generic;
    223using System.Linq;
    324using HeuristicLab.Common;
     
    930using HeuristicLab.Problems.TravelingSalesman;
    1031
    11 namespace HeuristicLab.Networks.IntegratedOptimization {
     32namespace HeuristicLab.Networks.IntegratedOptimization.TravelingThief {
    1233  [Item("Tour Profit Problem", "Represents a problem whose objective is to optimize a TTP tour for fixed TTP loot.")]
    1334  [Creatable(CreatableAttribute.Categories.Problems, Priority = 999)]
     
    5374
    5475    public override double Evaluate(Individual individual, IRandom random) {
    55       return TtpUtils.EvaluateTtp(Tsp, individual.Permutation().CloneAsArray(),
    56                                   Ksp, FixedKspSolution.CloneAsArray(),
     76      return TtpUtils.EvaluateTtp(Tsp, individual.Permutation().ToArray(),
     77                                  Ksp, FixedKspSolution.ToArray(),
    5778                                  Availability, RentingRatio, MinSpeed, MaxSpeed);
    5879    }
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