public void Start(string fileInput, string fileOutput, int timeLimit)
        {
            TwoSPInstance instance = new TwoSPInstance(fileInput);

            // Setting the parameters of the GA for this instance of the problem.
            int[] lowerBounds = new int[instance.NumberItems];
            int[] upperBounds = new int[instance.NumberItems];
            for (int i = 0; i < instance.NumberItems; i++) {
                lowerBounds[i] = 0;
                upperBounds[i] = instance.NumberItems - 1;
            }
            DiscreteGA genetic = new DiscreteGABL2OptBest42SP(instance, (int)popSize, mutProbability, lowerBounds, upperBounds);

            // Solving the problem and writing the best solution found.
            genetic.Run(timeLimit - (int)timePenalty);
            int[,] coordinates = TwoSPUtils.BLCoordinates(instance, genetic.BestIndividual);
            TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
            solution.Write(fileOutput);
        }
Esempio n. 2
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        public void Start(string fileInput, string fileOutput, int timeLimit)
        {
            TwoSPInstance instance = new TwoSPInstance(fileInput);

            // Setting the parameters of the GA for this instance of the problem.
            int[] lowerBounds = new int[instance.NumberItems];
            int[] upperBounds = new int[instance.NumberItems];
            for (int i = 0; i < instance.NumberItems; i++)
            {
                lowerBounds[i] = 0;
                upperBounds[i] = instance.NumberItems - 1;
            }
            DiscreteGA genetic = new DiscreteGABL2OptBest42SP(instance, (int)popSize, mutProbability, lowerBounds, upperBounds);

            // Solving the problem and writing the best solution found.
            genetic.Run(timeLimit - (int)timePenalty);
            int[,] coordinates = TwoSPUtils.BLCoordinates(instance, genetic.BestIndividual);
            TwoSPSolution solution = new TwoSPSolution(instance, coordinates);

            solution.Write(fileOutput);
        }