source: branches/2931_OR-Tools_LP_MIP/HeuristicLab.MathematicalOptimization/3.3/LinearProgramming/Algorithms/Solvers/GlopSolver.cs @ 16373

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.MathematicalOptimization.LinearProgramming.Algorithms.Solvers.Base;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.MathematicalOptimization.LinearProgramming.Algorithms.Solvers {

  [Item("Glop", "Glop (https://developers.google.com/optimization/lp/glop) can be used out of the box.")]
  [StorableClass]
  public class GlopSolver : IncrementalSolver {

    public GlopSolver() {
      problemTypeParam.Value = (EnumValue<ProblemType>)problemTypeParam.Value.AsReadOnly();
      SolverSpecificParameters.Value =
        "# for file format, see Protocol Buffers text format (https://developers.google.com/protocol-buffers/docs/overview#whynotxml)" + Environment.NewLine +
        "# for parameters, see https://github.com/google/or-tools/blob/v6.10/ortools/glop/parameters.proto" + Environment.NewLine +
        "# example:" + Environment.NewLine +
        "# random_seed: 10" + Environment.NewLine;
    }

    [StorableConstructor]
    protected GlopSolver(bool deserializing)
      : base(deserializing) {
    }

    protected GlopSolver(GlopSolver original, Cloner cloner)
      : base(original, cloner) {
    }

    protected override OptimizationProblemType OptimizationProblemType =>
      OptimizationProblemType.GlopLinearProgramming;
  }
}