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source: branches/OaaS/HeuristicLab.Services.Optimization.Web/Mappings/tsp.cs @ 9922

Last change on this file since 9922 was 9166, checked in by fschoepp, 12 years ago

#1888:

  • Model: OptimizationScenario may be a tree of algorithms (and problems)
  • Model: Renamed InputParameters to ProblemParameters (as they are the parameters of a problem)
  • Model: Added JobExecutionDetails which contain Repetitions + Group (resource to use)
  • ScenarioParser parses the new XML scenario files
  • Website + Model: You are now able to add/remove rows from a table (no JavaScript involved yet)
  • Website + Controller: Added repetitions (enables batch jobs) and group (resource to use) to OaaS which will be used by the controller to schedule the job
  • Website: Updated templates to use new model structure
  • Website + Scenarios: Added the new algorithm Benchmark Algorithm
  • Controller: Added a singleton to make the (Azure/Mockup)-DAL exchangeable
  • Controller: Added mockup classes for DAL + IScenarioManager
  • Website/Result Page: Line Diagrams will be added via JavaScript, crawling their data using AJAX
  • Website: Most configuration parameters can be set in the ServiceDefinition directly
  • Added a mockup for the Membership classes: These can be used if no network connection is available or if other parts of the app shall be tested
  • Scenarios: Updated TSP mappings to new xsd
File size: 3.1 KB
Line 
1using System;
2using System.Collections.Generic;
3using System.Linq;
4using System.Text;
5using HeuristicLab.Data;
6using HeuristicLab.Services.Optimization.ControllerService.Model;
7using HeuristicLab.Optimization;
8using HeuristicLab.Services.Optimization.ControllerService;
9using HeuristicLab.Algorithms.GeneticAlgorithm;
10using HeuristicLab.Problems.TravelingSalesman;
11namespace HeuristicLab.Mappers {
12  public class TSPScenarioMapper : IScenarioMapper {
13    public void MapScenario(OptimizationScenario scenario, out IAlgorithm algorithm) {
14      Console.WriteLine("Mapping scenario!");
15      var ga = new GeneticAlgorithm();
16      var problem = new TravelingSalesmanProblem();
17      ga.Problem = problem;
18      algorithm = ga;
19
20      problem.BestKnownQuality = HLMapper.ConvertToDoubleValue(scenario.FirstAlgorithm.Problem.Parameters.FindByName("BestKnownQuality"));
21      problem.BestKnownSolution = HLMapper.ConvertToPermutation(scenario.FirstAlgorithm.Problem.Parameters.FindByName("BestKnownSolution"));
22      problem.Coordinates = HLMapper.ConvertToDoubleMatrix(scenario.FirstAlgorithm.Problem.Parameters.FindByName("Coordinates"));
23      var evalParam = HLMapper.GetStringValue(scenario.FirstAlgorithm.Problem.Parameters.FindByName("EvaluatorParameter"));
24      if (evalParam == "HeuristicLab.Problems.TravelingSalesman.TSPRoundedEuclideanPathEvaluator") {
25        problem.EvaluatorParameter.Value = new TSPRoundedEuclideanPathEvaluator();
26      }
27      else if (evalParam == "HeuristicLab.Problems.TravelingSalesman.TSPGeoPathEvaluator") {
28        problem.EvaluatorParameter.Value = new TSPGeoPathEvaluator();
29      }
30      else {
31        problem.EvaluatorParameter.Value = new TSPEuclideanPathEvaluator();
32      }
33      problem.UseDistanceMatrix = HLMapper.ConvertToBoolValue(scenario.FirstAlgorithm.Problem.Parameters.FindByName("UseDistanceMatrix"));
34      Console.WriteLine("Mapping algorithm...");
35      ga.Mutator = HLMapper.FindInItemSet<HeuristicLab.Optimization.IManipulator>(ga.MutatorParameter.ValidValues, scenario.FirstAlgorithm.Parameters.FindByName("Mutator"));
36      ga.CrossoverParameter.Value = HLMapper.FindOperator<HeuristicLab.Optimization.ICrossover>(problem, scenario.FirstAlgorithm.Parameters.FindByName("CrossoverParameter"));
37      ga.Elites = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("Elites"));
38      ga.MaximumGenerations = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("MaximumGenerations"));
39      ga.MutationProbability = HLMapper.ConvertToPercentValue(scenario.FirstAlgorithm.Parameters.FindByName("MutationProbability"));
40      ga.PopulationSize = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("PopulationSize"));
41      ga.Seed = HLMapper.ConvertToIntValue(scenario.FirstAlgorithm.Parameters.FindByName("Seed"));
42      ga.Selector = HLMapper.FindInItemSet<HeuristicLab.Optimization.ISelector>(ga.SelectorParameter.ValidValues, scenario.FirstAlgorithm.Parameters.FindByName("Selector"));
43      ga.SetSeedRandomly = HLMapper.ConvertToBoolValue(scenario.FirstAlgorithm.Parameters.FindByName("SetSeedRandomly"));
44    }
45  }
46}
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