protected Algorithm(int populationSize,
StopCondition <TAlgorithm, TProblem, TSolution> stopCondition,
MainOperator <TAlgorithm, TProblem, TSolution> mainOperator)
{
Assert(populationSize > 0);
Stopwatch = new Stopwatch();
RunStatistic = new RunStatistic();
Problem = null;
Population = new TSolution[populationSize];
for (int i = 0; i < Population.Length; i++)
{
Population[i] = new TSolution();
}
Best = new TSolution
{
Fitness = double.MinValue
};
Random = null;
StopCondition = stopCondition.DeepClone();
MainOperator = mainOperator.DeepClone();
}
private FunctionStatistic TestCase(TAlgorithm algorithm, TProblem problem)
{
_progressCounter++;
Console.WriteLine($"{_progressCounter}/{_maxProgress}");
var runStatistics = new RunStatistic[NumberOfRuns];
if (IsParallelTestingPossible && !algorithm.IsParallel)
{
Parallel.For(0,
NumberOfRuns,
i => runStatistics[i] = TestRun(algorithm,
problem,
i));
}
else
{
for (var i = 0; i < NumberOfRuns; i++)
{
runStatistics[i] = TestRun(algorithm, problem, i);
}
}
Writer.Write($"{algorithm.Name}_{problem.Name}",
RunStatistic.Header,
runStatistics);
return(new FunctionStatistic(problem.Name, runStatistics));
}
