public static void NewEvolutionTests(List<MapPhenotype> maps, Stopwatch sw)
        {
            NoveltySearchOptions nso;
            var randomSeed = 124;
            var txtFile = "EvolutionWithNoveltyFitness.txt";
            var selectHighestFitness = false;

            var random = new Random(randomSeed);
            var folderString = "EvoNov E + VI Nov";

            var noveltyGenerations = 10;
            var archive = 5;
            var feasible = 50;
            var infeasible = 50;

            var evolutionGenerations = 10;
            var evoPopSize = 25;
            var parents = 6;
            var children = 18;

            Console.WriteLine("Starting evolution with highest fitness novel maps {0} at {1}.", folderString, DateTime.Now.TimeOfDay);
            nso = new NoveltySearchOptions(feasiblePopulationSize: feasible, infeasiblePopulationSize: infeasible, addToArchive: archive, numberOfNeighbours: neighbours);
            RunEvolutionWithNoveltyAsBase(maps, random, runMOEA: false, selectHighestFitness: selectHighestFitness, numberOfNoveltyGenerations: noveltyGenerations, numberOfEvolutionGenerations: evolutionGenerations, noveltySearchOptions: nso, evolutionPopulationSize: evoPopSize, numberOfParents: parents, numberOfChildren: children, selectionStrategy: Enums.SelectionStrategy.ChanceBased, parentSelectionStrategy: Enums.SelectionStrategy.ChanceBased, folderName: folderString, fileToWriteTo: txtFile);
            Console.WriteLine("Evolution with highest fitness novel maps. It took {0} milliseconds to perform evolution with highest fitness novel maps.", sw.ElapsedMilliseconds);
            Console.WriteLine("------");
            sw.Restart();




            random = new Random(randomSeed);
            folderString = "EvoNov F + I Nov";

            noveltyGenerations = 30;
            archive = 3;
            feasible = 20;
            infeasible = 20;

            evolutionGenerations = 30;
            evoPopSize = 20;
            parents = 4;
            children = 16;

            Console.WriteLine("Starting evolution with highest fitness novel maps {0} at {1}.", folderString, DateTime.Now.TimeOfDay);
            nso = new NoveltySearchOptions(feasiblePopulationSize: feasible, infeasiblePopulationSize: infeasible, addToArchive: archive, numberOfNeighbours: neighbours);
            RunEvolutionWithNoveltyAsBase(maps, random, runMOEA: false, selectHighestFitness: selectHighestFitness, numberOfNoveltyGenerations: noveltyGenerations, numberOfEvolutionGenerations: evolutionGenerations, noveltySearchOptions: nso, evolutionPopulationSize: evoPopSize, numberOfParents: parents, numberOfChildren: children, selectionStrategy: Enums.SelectionStrategy.ChanceBased, parentSelectionStrategy: Enums.SelectionStrategy.ChanceBased, folderName: folderString, fileToWriteTo: txtFile);
            Console.WriteLine("Evolution with highest fitness novel maps. It took {0} milliseconds to perform evolution with highest fitness novel maps.", sw.ElapsedMilliseconds);
            Console.WriteLine("------");
            sw.Restart();




            random = new Random(randomSeed);
            folderString = "EvoNov G + VIII Nov";

            noveltyGenerations = 10;
            archive = 10;
            feasible = 100;
            infeasible = 100;

            evolutionGenerations = 5;
            evoPopSize = 50;
            parents = 12;
            children = 36;

            Console.WriteLine("Starting evolution with highest fitness novel maps {0} at {1}.", folderString, DateTime.Now.TimeOfDay);
            nso = new NoveltySearchOptions(feasiblePopulationSize: feasible, infeasiblePopulationSize: infeasible, addToArchive: archive, numberOfNeighbours: neighbours);
            RunEvolutionWithNoveltyAsBase(maps, random, runMOEA: false, selectHighestFitness: selectHighestFitness, numberOfNoveltyGenerations: noveltyGenerations, numberOfEvolutionGenerations: evolutionGenerations, noveltySearchOptions: nso, evolutionPopulationSize: evoPopSize, numberOfParents: parents, numberOfChildren: children, selectionStrategy: Enums.SelectionStrategy.ChanceBased, parentSelectionStrategy: Enums.SelectionStrategy.ChanceBased, folderName: folderString, fileToWriteTo: txtFile);
            Console.WriteLine("Evolution with highest fitness novel maps. It took {0} milliseconds to perform evolution with highest fitness novel maps.", sw.ElapsedMilliseconds);
            Console.WriteLine("------");
            sw.Restart();




            random = new Random(randomSeed);
            folderString = "EvoNov J + V Nov";

            noveltyGenerations = 20;
            archive = 1;
            feasible = 60;
            infeasible = 60;

            evolutionGenerations = 10;
            evoPopSize = 5;
            parents = 1;
            children = 4;

            Console.WriteLine("Starting evolution with highest fitness novel maps {0} at {1}.", folderString, DateTime.Now.TimeOfDay);
            nso = new NoveltySearchOptions(feasiblePopulationSize: feasible, infeasiblePopulationSize: infeasible, addToArchive: archive, numberOfNeighbours: neighbours);
            RunEvolutionWithNoveltyAsBase(maps, random, runMOEA: false, selectHighestFitness: selectHighestFitness, numberOfNoveltyGenerations: noveltyGenerations, numberOfEvolutionGenerations: evolutionGenerations, noveltySearchOptions: nso, evolutionPopulationSize: evoPopSize, numberOfParents: parents, numberOfChildren: children, selectionStrategy: Enums.SelectionStrategy.ChanceBased, parentSelectionStrategy: Enums.SelectionStrategy.ChanceBased, folderName: folderString, fileToWriteTo: txtFile);
            Console.WriteLine("Evolution with highest fitness novel maps. It took {0} milliseconds to perform evolution with highest fitness novel maps.", sw.ElapsedMilliseconds);
            Console.WriteLine("------");
            sw.Restart();




            random = new Random(randomSeed);
            folderString = "EvoNov H + VI Nov";

            noveltyGenerations = 50;
            archive = 1;
            feasible = 60;
            infeasible = 60;

            evolutionGenerations = 50;
            evoPopSize = 5;
            parents = 1;
            children = 4;

            Console.WriteLine("Starting evolution with highest fitness novel maps {0} at {1}.", folderString, DateTime.Now.TimeOfDay);
            nso = new NoveltySearchOptions(feasiblePopulationSize: feasible, infeasiblePopulationSize: infeasible, addToArchive: archive, numberOfNeighbours: neighbours);
            RunEvolutionWithNoveltyAsBase(maps, random, runMOEA: false, selectHighestFitness: selectHighestFitness, numberOfNoveltyGenerations: noveltyGenerations, numberOfEvolutionGenerations: evolutionGenerations, noveltySearchOptions: nso, evolutionPopulationSize: evoPopSize, numberOfParents: parents, numberOfChildren: children, selectionStrategy: Enums.SelectionStrategy.ChanceBased, parentSelectionStrategy: Enums.SelectionStrategy.ChanceBased, folderName: folderString, fileToWriteTo: txtFile);
            Console.WriteLine("Evolution with highest fitness novel maps. It took {0} milliseconds to perform evolution with highest fitness novel maps.", sw.ElapsedMilliseconds);
            Console.WriteLine("------");
            sw.Restart();




            random = new Random(randomSeed);
            folderString = "EvoNov I + VII Nov";

            noveltyGenerations = 50;
            archive = 1;
            feasible = 90;
            infeasible = 90;

            evolutionGenerations = 50;
            evoPopSize = 10;
            parents = 2;
            children = 8;

            Console.WriteLine("Starting evolution with highest fitness novel maps {0} at {1}.", folderString, DateTime.Now.TimeOfDay);
            nso = new NoveltySearchOptions(feasiblePopulationSize: feasible, infeasiblePopulationSize: infeasible, addToArchive: archive, numberOfNeighbours: neighbours);
            RunEvolutionWithNoveltyAsBase(maps, random, runMOEA: false, selectHighestFitness: selectHighestFitness, numberOfNoveltyGenerations: noveltyGenerations, numberOfEvolutionGenerations: evolutionGenerations, noveltySearchOptions: nso, evolutionPopulationSize: evoPopSize, numberOfParents: parents, numberOfChildren: children, selectionStrategy: Enums.SelectionStrategy.ChanceBased, parentSelectionStrategy: Enums.SelectionStrategy.ChanceBased, folderName: folderString, fileToWriteTo: txtFile);
            Console.WriteLine("Evolution with highest fitness novel maps. It took {0} milliseconds to perform evolution with highest fitness novel maps.", sw.ElapsedMilliseconds);
            Console.WriteLine("------");
            sw.Restart();




            random = new Random(randomSeed);
            folderString = "EvoNov D + II Nov";

            noveltyGenerations = 25;
            archive = 1;
            feasible = 25;
            infeasible = 25;

            evolutionGenerations = 25;
            evoPopSize = 10;
            parents = 2;
            children = 8;

            Console.WriteLine("Starting evolution with highest fitness novel maps {0} at {1}.", folderString, DateTime.Now.TimeOfDay);
            nso = new NoveltySearchOptions(feasiblePopulationSize: feasible, infeasiblePopulationSize: infeasible, addToArchive: archive, numberOfNeighbours: neighbours);
            RunEvolutionWithNoveltyAsBase(maps, random, runMOEA: false, selectHighestFitness: selectHighestFitness, numberOfNoveltyGenerations: noveltyGenerations, numberOfEvolutionGenerations: evolutionGenerations, noveltySearchOptions: nso, evolutionPopulationSize: evoPopSize, numberOfParents: parents, numberOfChildren: children, selectionStrategy: Enums.SelectionStrategy.ChanceBased, parentSelectionStrategy: Enums.SelectionStrategy.ChanceBased, folderName: folderString, fileToWriteTo: txtFile);
            Console.WriteLine("Evolution with highest fitness novel maps. It took {0} milliseconds to perform evolution with highest fitness novel maps.", sw.ElapsedMilliseconds);
            Console.WriteLine("------");
            sw.Restart();
        }