예제 #1
0
        /// <summary>
        /// Initializes a new optimization run.
        /// </summary>
        /// <param name="parameters">The parameters to initialize the algorithm with</param>
        /// <param name="initialSolution">The solution to initialize the population with</param>
        public void InitializeEvolution(GeneticAlgorithmParameters parameters, BitArray initialSolution = null)
        {
            _populationSize       = parameters.PopulationSize;
            MaxGeneration         = parameters.MaxGeneration;
            _dnaLength            = parameters.DnaLength;
            _temperature          = parameters.Temperature;
            _annealingFactor      = parameters.AnnealingFactor;
            _maxMutateClusterSize = parameters.MaxMutateClusterSize;

            _initialSolution = initialSolution ?? new BitArray(_dnaLength);
            // Make sure there is a valid solution in case _populationSize is 0.
            _bestSolution   = new Individual(_initialSolution, 0);
            _population     = CreatePopulation();
            GenerationCount = 0;
            UpdateBestSolution();
        }
예제 #2
0
 /// <summary>
 /// Initializes a new optimization run.
 /// </summary>
 /// <param name="parameters">The parameters to initialize the algorithm with</param>
 /// <param name="initialSolution">The solution to initialize the population with</param>
 public void InitializeEvolution(GeneticAlgorithmParameters parameters, BitArray initialSolution = null)
 {
     _populationSize = parameters.PopulationSize;
     _dnaLength = parameters.DnaLength;
     _temperature = parameters.Temperature;
     _initialTemperature = _temperature;
     _annealingFactor = parameters.AnnealingFactor;
     _maxMutateClusterSize = parameters.MaxMutateClusterSize;
     CurrentIteration = 0;
     
     _initialSolution = initialSolution ?? new BitArray(_dnaLength);
     // Make sure there is a valid solution in case _populationSize is 0.
     _bestSolution = new Individual(_initialSolution, 0);
     _population = CreatePopulation();
     GenerationCount = 0;
     UpdateBestSolution();
 }