/// <summary>
        /// Called internally to process the journey optimisation queue.
        /// </summary>
        private void OptimisationLoop()
        {
            var detailedExportContext = JsonConvert.CreateExportContext();
            var summaryExportContext = JsonConvert.CreateExportContext();
            detailedExportContext.Register(new CritterExporter(CritterExporter.ExportType.Expanded));
            summaryExportContext.Register(new CritterExporter(CritterExporter.ExportType.Summary));
            {
                // try
                while (!this.cTokenSource.IsCancellationRequested)
                {
                    string jUuid = string.Empty;
                    Run run = null;
                    //try
                    {
                        this.currentIteration = 0;

                        this.state = OptimiserState.Waiting;
                        if (this.bc.Count == 0 && this.exitThreadWhenQueueEmpty)
                        {
                            return;
                        }

                        this.Save();

                        jUuid = this.bc.Take(this.cTokenSource.Token);
                        this.state = OptimiserState.Optimising;
                        run = new Run();

                        var journey = this.journeyManager.GetJourney(jUuid);
                        this.currentJourney = journey;
                        run.JourneyUuid = journey.Uuid;
                        run.TimeStarted = DateTime.Now;
                        var planner = new MoeaJourneyPlanner(journey.Properties);
                        var results = new List<Result>(journey.Properties.MaxIterations);
                        this.maxIterations = journey.Properties.MaxIterations;
                        planner.Start();

                        for (int i = 0; i < journey.Properties.MaxIterations; i++)
                        {
                            this.currentIteration++;
                            planner.SolveStep();
                            results.Add((Result)planner.IterationResult.Clone());
                            while (this.paused)
                            {
                                Thread.Sleep(100);
                            }

                            // results.Add(planner.re);
                            if (this.cTokenSource.IsCancellationRequested)
                            {
                                break;
                            }
                        }

                        run.TimeFinished = DateTime.Now;
                        var maxTT = results.Max(r => r.Population.Max(p => p.Fitness.TotalTravelTime)).TotalSeconds;
                        var minTT = results.Min(r => r.Population.Min(p => p.Fitness.TotalTravelTime)).TotalSeconds;
                        var maxJT = results.Max(r => r.Population.Max(p => p.Fitness.TotalJourneyTime)).TotalSeconds;
                        var minJT = results.Min(r => r.Population.Min(p => p.Fitness.TotalJourneyTime)).TotalSeconds;
                        var maxCh = results.Max(r => r.Population.Max(p => p.Fitness.Changes));
                        var minCh = results.Min(r => r.Population.Min(p => p.Fitness.Changes));

                        foreach (var result in results)
                        {
                            foreach (var p in result.Population)
                            {
                                p.Fitness.NormalisedChanges = Math.Min(
                                    1.0f, p.Fitness.Changes / (double)(maxCh - minCh));
                                p.Fitness.NormalisedJourneyTime = Math.Max(
                                    1.0f, p.Fitness.TotalJourneyTime.TotalSeconds / (maxJT - minJT));
                                p.Fitness.NormalisedTravelTime = Math.Max(
                                    1.0f, p.Fitness.TotalTravelTime.TotalSeconds / (maxTT - minTT));
                            }
                        }

                        if (!this.cTokenSource.IsCancellationRequested)
                        {
                            lock (journey.RunUuids)
                            {
                                // TODO: Make this more efficient/better coded
                                var newList = new List<string>(journey.RunUuids);
                                newList.Add(run.Uuid);
                                journey.RunUuids = newList.ToArray();

                                string dir = this.directories[1] + "/" + journey.Uuid + "/";
                                Directory.CreateDirectory(dir + run.Uuid);
                                using (var resultWriter = new StreamWriter(dir + run.Uuid + "/results.csv", false))
                                {
                                    resultWriter.Write("Iteration,Hypervolume,Cardinality,");
                                    foreach (var p in Enum.GetValues(typeof(FitnessParameter)))
                                    {
                                        resultWriter.Write("{0}, ", p);
                                    }

                                    resultWriter.WriteLine();

                                    for (int i = 0; i < results.Count; i++)
                                    {
                                        using (
                                            var writer = new StreamWriter(dir + run.Uuid + "/iteration." + i + ".json"))
                                        {
                                            results[i].Hypervolume = 0.0;

                                            /*results[i].Population.CalculateHyperVolume(
                                                journey.Properties.Objectives,
                                                new double[journey.Properties.Objectives.Length]);*/
                                            var grouped = from p in results[i].Population
                                                          group p by p.Route
                                                              into g
                                                              select g;

                                            var candidates = new List<Critter>();
                                            foreach (var g in grouped)
                                            {
                                                TimeSpan minTime = TimeSpan.MaxValue;
                                                Critter minCrit = null;

                                                foreach (var critter in g)
                                                {
                                                    if (critter.Fitness.TotalJourneyTime < minTime)
                                                    {
                                                        minTime = critter.Fitness.TotalJourneyTime;
                                                        minCrit = critter;
                                                    }
                                                }

                                                candidates.Add(minCrit);
                                            }
                                            var groupedResult = (Result)results[i].Clone(true);
                                            groupedResult.Population = new Population(candidates.OrderBy(c => c.Fitness.TotalJourneyTime));

                                            detailedExportContext.Export(groupedResult, new JsonTextWriter(writer));
                                            resultWriter.Write(
                                                "{0}, {1}, {2}, ", i, results[i].Hypervolume, results[i].Cardinality);
                                            foreach (var p in Enum.GetValues(typeof(FitnessParameter)))
                                            {
                                                resultWriter.Write(
                                                    "{0},",
                                                    results[i].Population.Average(c => c.Fitness[(FitnessParameter)p]));
                                            }

                                            resultWriter.WriteLine();
                                        }

                                        // For the last result entry, Save simplified file.
                                        if (i != results.Count - 1)
                                        {
                                            continue;
                                        }

                                        using (var writer = new StreamWriter(dir + run.Uuid + "/simple.json"))
                                        {
                                            using (var jsonWriter = new JsonTextWriter(writer))
                                            {
                                                var grouped = from p in results[i].Population
                                                              group p by p.Route
                                                              into g
                                                              select g;

                                                var candidates = new List<Critter>();
                                                foreach (var g in grouped)
                                                {
                                                    TimeSpan minTime = TimeSpan.MaxValue;
                                                    Critter minCrit = null;

                                                    foreach (var critter in g)
                                                    {
                                                        if (critter.Fitness.TotalJourneyTime < minTime)
                                                        {
                                                            minTime = critter.Fitness.TotalJourneyTime;
                                                            minCrit = critter;
                                                        }
                                                    }

                                                    candidates.Add(minCrit);
                                                }
                                                summaryExportContext.Export(candidates.OrderBy(c => c.Fitness.TotalJourneyTime), jsonWriter);
                                            }
                                        }
                                    }

                                    using (var writer = new StreamWriter(dir + run.Uuid + ".json"))
                                    {
                                        detailedExportContext.Export(run, new JsonTextWriter(writer));
                                    }

                                    results.Clear();
                                }
                            }

                            this.journeyManager.Save();
                        }

                        this.currentJourney = null;
                        this.currentIteration = 0;
                        this.maxIterations = 0;
                    }
                    /*
                    catch (Exception e)
                    {
                        StreamWriter logWriter = new StreamWriter("Log.txt");
                        logWriter.WriteLine(
                            "Exception: {0} jUUID: {1}, rUUID{2}, ST {3}\n\n",
                            e.Message,
                            jUuid,
                            (run ?? new Run { ErrorCode = -1, JourneyUuid = jUuid }).Uuid,
                            e.StackTrace);
                        logWriter.Close();

                        // throw;
                    }
                     */
                }
            }

            /*
            catch (Exception e)
            {
                //this.thrownException = e;
                throw;
            }
            finally
            {
                this.state = OptimiserState.Idle;
            }
             * */
        }
 /// <summary>
 /// Pauses the current optimisation run at the next available oportunity.
 /// </summary>
 public void Pause()
 {
     if (this.state == OptimiserState.Optimising)
     {
         this.paused = true;
         this.state = OptimiserState.Paused;
     }
 }
 /// <summary>
 /// Resumes the current optimisation run.
 /// </summary>
 public void Resume()
 {
     if (this.state == OptimiserState.Paused)
     {
         this.paused = false;
         this.state = OptimiserState.Optimising;
     }
 }
 /// <summary>
 /// Cancels the current job and halts the optimisation.
 /// </summary>
 public void Cancel()
 {
     this.paused = false;
     this.cTokenSource.Cancel();
     this.state = OptimiserState.Cancelling;
 }