public ISolutionFinderStrategy GetSolutionFinderStrategy(SolutionStrategyTypes solutionStrategyTypes)
{
ISolutionFinderStrategy solutionFinderStrategy;
switch (solutionStrategyTypes)
{
case SolutionStrategyTypes.RandomSolutionStrategy:
solutionFinderStrategy = new RandomSolution(randomSolutionGenerator);
break;
case SolutionStrategyTypes.EVOSolutionStrategy:
solutionFinderStrategy = new EvolutionarySolution(randomSolutionGenerator, parentSelection, recombination, bestSolutionFinder, mutation, solutionEvaluator, adptiveChanceAdjuster);
break;
case SolutionStrategyTypes.GenerateTestResults:
solutionFinderStrategy = new ResultsCreator(bestSolutionFinder, new EvolutionarySolution(randomSolutionGenerator, parentSelection, recombination, bestSolutionFinder, mutation, solutionEvaluator, adptiveChanceAdjuster), csvFileWriter);
break;
default:
solutionFinderStrategy = new RandomSolution(randomSolutionGenerator);
break;
}
return(solutionFinderStrategy);
}
private void InitAI()
{
MoveMaker myStrategy = null;
EvaluationFunction eval = null;
UtilityFunction ufunc = null;
////////////////
// your code here to initialize the MinMax algorithm
// 1. Evaluation function
// 2. Utility function
// 3. Strategy (MinMax and MinMax Alpha Beta)
///////////////
switch (evalfunc)
{
case EvaluatationFunc.Eval:
eval = new EvaluationFunction();
break;
default:
Debug.Log("Not an option");
break;
}
switch (utilfunc)
{
case UtilityFunc.Util:
ufunc = new UtilityFunction();
break;
default:
Debug.Log("Not an option");
break;
}
switch (strategy)
{
case TypeStrategy.RandomStrategy:
myStrategy = new RandomSolution(this, GameManager.instance.GetAdversary(this));
break;
case TypeStrategy.MinMax:
myStrategy = new MinMaxAlgorithm(this, eval, ufunc, GameManager.instance.GetAdversary(this));
break;
default:
Debug.Log("Not an option");
break;
}
moveMaker = myStrategy;
}
