static void Algorithm(int itemsAmount, int dimensions, double maxCost, double[] restrictions, double[] costs, double[,] itemsSet)//version w/o restarts.
{
int ConfigsAmount = 10;
double mutationPercent = 0.20;//FROM 0 TO 1
GeneticalAlgorithm ga = new GeneticalAlgorithm(itemsAmount, dimensions, restrictions, costs, itemsSet, ConfigsAmount, GeneticalAlgorithm.TwoPointCrossover, GeneticalAlgorithm.SinglePointMutation, mutationPercent);
int iterationNumber = 0;
while (ga.GetAbsoluteMaximalKnapsackCost() != maxCost)
{
//var watch = new Stopwatch();
//watch.Start();
ga.MakeIteration();
iterationNumber++;
if (iterationNumber % 10000 == 0)
{
Console.WriteLine(iterationNumber + ") delta with avg is " + (maxCost - ga.GetAbsoluteAverageKnapsackCost()) + "\n delta with max is " + (maxCost - ga.GetAbsoluteMaximalKnapsackCost()));
var bestCosts = ga.GetBestConfigsCosts();
Console.WriteLine("Top 3 of the best configs pool are {0}, {1}, {2}",
(maxCost - bestCosts[0]),
(maxCost - bestCosts[1]),
(maxCost - bestCosts[2]));
}
// watch.Stop();
}
Console.WriteLine("Finished in {0}", iterationNumber);
Console.ReadKey();
}
static void Algorithm(int itemsAmount, int dimensions, double maxCost, double[] restrictions, double[] costs, double[,] itemsSet, int testNumber)
{
int ConfigsAmount = 8;
double mutationPercent = 0.75;
GeneticalAlgorithm ga = new GeneticalAlgorithm(itemsAmount, dimensions, restrictions, costs, itemsSet, ConfigsAmount, GeneticalAlgorithm.BitByBitCrossover, GeneticalAlgorithm.MutateHalf, mutationPercent);
int iterationNumber = 1;
var controlWatch = new Stopwatch();
controlWatch.Start();
while (ga.GetAbsoluteMaximalKnapsackCost() != maxCost)
{
ga.MakeIteration();
iterationNumber++;
}
controlWatch.Stop();
using (StreamWriter file1 = new StreamWriter(@"C:\Users\black_000\Documents\visual studio 2015\Projects\ConsoleKnapsack\ConsoleKnapsack\out.txt", true))
file1.WriteLine(iterationNumber + " iterations, " + controlWatch.ElapsedMilliseconds + " ms");
//averageTime[testNumber].Add(controlWatch.ElapsedMilliseconds);
//averageIterations[testNumber].Add(iterationNumber);
}