Free cookie consent management tool by TermsFeed Policy Generator

Ignore:
Timestamp:
10/11/12 17:17:36 (12 years ago)
Author:
ascheibe
Message:

#1886 added a comparison factor parameter to the crossover analyzer so that it can be defined what a successful crossover is

File:
1 edited

Legend:

Unmodified
Added
Removed
  • branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/MutationPerformanceAnalyzer.cs

    r8739 r8797  
    3131using HeuristicLab.Parameters;
    3232using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    33 using HeuristicLab.Problems.TravelingSalesman;
    3433
    3534namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
     
    145144        qualityPlotHelper.InitializePlot(Results, "Mutation Quality", "Solution Index", "Absolut Quality Difference");
    146145        diversityPlotHelper.InitializePlot(Results, "Mutation Diversity", "Solution Index", "Diversity");
    147         avgDataTableHelper.InitializeChart(Results, "Average Mutation Performance", "Average Mutation Performance per Generation");
     146        avgDataTableHelper.InitializeChart(Results, "Average Mutation Performance", new string[] { "Average Mutation Performance per Generation" });
    148147
    149148        Scope permutationBeforeScope = new Scope();
Note: See TracChangeset for help on using the changeset viewer.