Ejemplo n.º 1
0
        public FullyConnectedNeuralNetworkModel[] CreateNextGeneration(FullyConnectedNeuralNetworkModel[] parents, int populationSize)
        {
            var children    = new FullyConnectedNeuralNetworkModel[populationSize - parents.Length];
            var indexesBred = new ConcurrentDictionary <int, List <int> >();

            Parallel.For(0, children.Length, childIndex =>
            {
                var motherIndex       = 0;
                var fatherIndex       = 0;
                var motherHasChildren = false;

                while (motherIndex == fatherIndex || motherHasChildren && indexesBred[motherIndex].Contains(fatherIndex))
                {
                    var parentIndexes = new[] { random.Next(parents.Length), random.Next(parents.Length) }.OrderBy(i => i);

                    motherIndex       = parentIndexes.ElementAt(0);
                    fatherIndex       = parentIndexes.ElementAt(1);
                    motherHasChildren = indexesBred.ContainsKey(motherIndex);
                }

                children[childIndex] = modelBreeder.Breed(parents[motherIndex], parents[fatherIndex]);

                indexesBred.AddOrUpdate(motherIndex, new List <int>()
                {
                    fatherIndex
                }, (key, value) =>
                {
                    value.Add(fatherIndex);

                    return(value);
                });
            });

            return(children);
        }
        public FullyConnectedNeuralNetworkModel[] CreateNextGeneration(FullyConnectedNeuralNetworkModel[] parents, int populationSize)
        {
            var children = new List <FullyConnectedNeuralNetworkModel>();
            var remainingParentIndexes = Enumerable.Range(0, parents.Length).ToList();

            while (children.Count < populationSize - parents.Length)
            {
                var randomRemainingParentIndex = random.Next(1, remainingParentIndexes.Count);
                var motherIndex = remainingParentIndexes[0];
                var fatherIndex = remainingParentIndexes[randomRemainingParentIndex];
                var child       = modelBreeder.Breed(parents[motherIndex], parents[fatherIndex]);

                children.Add(child);
                remainingParentIndexes.Remove(motherIndex);
                remainingParentIndexes.Remove(fatherIndex);
            }

            return(children.ToArray());
        }