| 1 | using System;
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| 2 | using System.Collections.Generic;
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| 3 | using System.Linq;
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| 4 | using System.Text;
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| 5 | using HeuristicLab.Data;
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| 6 | using HeuristicLab.Services.Optimization.ControllerService.Model;
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| 7 | using HeuristicLab.Optimization;
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| 8 | using HeuristicLab.Services.Optimization.ControllerService;
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| 9 | using HeuristicLab.Algorithms.GeneticAlgorithm;
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| 10 | using HeuristicLab.Problems.TravelingSalesman;
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| 11 | namespace HeuristicLab.Mappers {
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| 12 | public class TSPScenarioMapper : IScenarioMapper {
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| 13 | public void MapScenario(OptimizationScenario scenario, out IAlgorithm algorithm) {
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| 14 | Console.WriteLine("Mapping scenario!");
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| 15 | var ga = new GeneticAlgorithm();
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| 16 | var problem = new TravelingSalesmanProblem();
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| 17 | ga.Problem = problem;
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| 18 | algorithm = ga;
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| 19 |
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| 20 | problem.BestKnownQuality = HLMapper.ConvertToDoubleValue(scenario.FirstAlgorithm.Problem.Parameters.FindByName("BestKnownQuality"));
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| 21 | problem.BestKnownSolution = HLMapper.ConvertToPermutation(scenario.FirstAlgorithm.Problem.Parameters.FindByName("BestKnownSolution"));
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| 22 | problem.Coordinates = HLMapper.ConvertToDoubleMatrix(scenario.FirstAlgorithm.Problem.Parameters.FindByName("Coordinates"));
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| 23 | var evalParam = HLMapper.GetStringValue(scenario.FirstAlgorithm.Problem.Parameters.FindByName("EvaluatorParameter"));
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| 24 | if (evalParam == "HeuristicLab.Problems.TravelingSalesman.TSPRoundedEuclideanPathEvaluator") {
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| 25 | problem.EvaluatorParameter.Value = new TSPRoundedEuclideanPathEvaluator();
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| 26 | }
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| 27 | else if (evalParam == "HeuristicLab.Problems.TravelingSalesman.TSPGeoPathEvaluator") {
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| 28 | problem.EvaluatorParameter.Value = new TSPGeoPathEvaluator();
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| 29 | }
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| 30 | else {
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| 31 | problem.EvaluatorParameter.Value = new TSPEuclideanPathEvaluator();
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| 32 | }
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| 33 | problem.UseDistanceMatrix = HLMapper.ConvertToBoolValue(scenario.FirstAlgorithm.Problem.Parameters.FindByName("UseDistanceMatrix"));
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| 34 | Console.WriteLine("Mapping algorithm...");
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| 35 | ga.Mutator = HLMapper.FindInItemSet<HeuristicLab.Optimization.IManipulator>(ga.MutatorParameter.ValidValues, scenario.FirstAlgorithm.Parameters.FindByName("Mutator"));
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| 36 | ga.CrossoverParameter.Value = HLMapper.FindOperator<HeuristicLab.Optimization.ICrossover>(problem, scenario.FirstAlgorithm.Parameters.FindByName("CrossoverParameter"));
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| 37 | ga.Elites = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("Elites"));
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| 38 | ga.MaximumGenerations = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("MaximumGenerations"));
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| 39 | ga.MutationProbability = HLMapper.ConvertToPercentValue(scenario.FirstAlgorithm.Parameters.FindByName("MutationProbability"));
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| 40 | ga.PopulationSize = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("PopulationSize"));
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| 41 | ga.Seed = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("Seed"));
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| 42 | ga.Selector = HLMapper.FindInItemSet<HeuristicLab.Optimization.ISelector>(ga.SelectorParameter.ValidValues, scenario.FirstAlgorithm.Parameters.FindByName("Selector"));
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| 43 | ga.SetSeedRandomly = HLMapper.ConvertToBoolValue(scenario.FirstAlgorithm.Parameters.FindByName("SetSeedRandomly"));
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| 44 | }
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| 45 | }
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| 46 | } |
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