Example #1
0
        private void WorkerThreadStart()
        {
            Initialize();

            while (isRunning)
            {
                //assign current work data to a tmp var, so that we use the same data through the entire itteration
                //even if data is changed by the main thread, nothing will break or go wrong.
                WorkerData tmpData = data;


                if (tmpData.hasNewParent)
                {
                    Tools.InitRandom(tmpData.randomSeed);
                    tmpData.hasNewParent = false;
                }


                DnaDrawing newDrawing = GetMutatedSeedSyncedDrawing();

                double newErrorLevel = FitnessCalculator.GetDrawingFitness(newDrawing, info.SourceImage,
                                                                           partitionY, partitionHeight);

                var result = new DnaPartitionResult
                {
                    Drawing    = newDrawing,
                    ErrorLevel = newErrorLevel,
                };


                tmpData.workerTail.Enqueue(result);
            }
        }
Example #2
0
        public DnaPartitionResult GetNextResult()
        {
            WorkerData tmp = data;

            while (tmp.workerTail.Count == 0)
            {
                Thread.Sleep(2); //only happens at startup and on rare occasions
                tmp = data;
            }

            DnaPartitionResult result = tmp.workerTail.Dequeue();

            tmp.workerUsedTail.Add(result);
            return(result);
        }
Example #3
0
        public void AcceptGoodDrawing(int tailIndex, int newSeed)
        {
            DnaPartitionResult result = data.workerUsedTail[tailIndex];

            parentDrawing = result.Drawing; //.Clone();
            var newData = new WorkerData
            {
                randomSeed     = newSeed,
                hasNewParent   = true,
                workerUsedTail = new List <DnaPartitionResult>(),
                workerTail     = new Queue <DnaPartitionResult>(),
            };

            data = newData; // assign new data to worker, worker will get it next loop itteration
        }
Example #4
0
        public double GetNextErrorLevel()
        {
            int tailIndex = 0;

            while (true)
            {
                var results = new List <DnaPartitionResult>();

                foreach (ClusteredWorker worker in workers)
                {
                    DnaPartitionResult partitionResult = worker.GetNextResult();
                    results.Add(partitionResult);
                }

                double newErrorLevel = 0;
                foreach (DnaPartitionResult partitionResult in results)
                {
                    newErrorLevel += partitionResult.ErrorLevel;
                }

                if (newErrorLevel <= currentErrorLevel)
                {
                    currentErrorLevel = newErrorLevel;
                    int newSeed = Tools.GetRandomNumber(int.MinValue, int.MaxValue);
                    foreach (ClusteredWorker worker in workers)
                    {
                        worker.AcceptGoodDrawing(tailIndex, newSeed);
                    }
                    break;
                }

                tailIndex++;
                //  Thread.Sleep(10);
            }


            return(currentErrorLevel);
        }