/// <summary>
/// Factory to create specified optimizer
/// </summary>
/// <param name="tspOptimizerAlgorithm"></param>
/// <param name="startSequence"></param>
/// <param name="euclideanPath"></param>
/// <returns></returns>
public static ITspOptimizer Create(TspOptimizerAlgorithm tspOptimizerAlgorithm,
int[] startSequence, IEuclideanPath euclideanPath,
OptimizerConfig config)
{
ITspOptimizer tspOptimizer = null;
switch (tspOptimizerAlgorithm)
{
case TspOptimizerAlgorithm.RandomOptimizer:
tspOptimizer = new RandomOptimizer(startSequence, euclideanPath, config);
break;
case TspOptimizerAlgorithm.LocalCombinationOptimizer:
tspOptimizer = new LocalCombinationOptimizer(startSequence, euclideanPath, config);
break;
case TspOptimizerAlgorithm.MultiLocalCombinationOptimizer:
tspOptimizer = new MultiLocalCombinationOptimizer(startSequence, euclideanPath, config);
break;
case TspOptimizerAlgorithm.LocalTwoOptOptimizer:
tspOptimizer = new LocalTwoOptOptimizer(startSequence, euclideanPath, config);
break;
case TspOptimizerAlgorithm.BruteForceOptimizer:
tspOptimizer = new BruteForceOptimizer(startSequence, euclideanPath, config);
break;
case TspOptimizerAlgorithm.BranchAndBoundOptimizer:
tspOptimizer = new BranchAndBoundOptimizer(startSequence, euclideanPath, config);
break;
case TspOptimizerAlgorithm.SimulatedAnnealingOptimizer:
tspOptimizer = new SimulatedAnnealingOptimizer(startSequence, euclideanPath, config);
break;
case TspOptimizerAlgorithm.GeneticOptimizer:
tspOptimizer = new GeneticOptimizer(startSequence, euclideanPath, config);
break;
default:
throw new ArgumentException("Unknown optimizer");
}
return(tspOptimizer);
}
private void DoLocalOptimizationGidCell()
{
Parallel.ForEach(GridCells, cell =>
{
int length = cell.GetCompleteIndices().Length;
OptimizerInfo.OnNext("Local cell element count: " + length.ToString());
//var euclideanPath = new FastEuclideanPath(_globalGridPoints);
ITspOptimizer optimizer = new BranchAndBoundOptimizer(cell.GetCompleteIndices(), _euclideanPath, _config);
{
ClosedPath = false;
};
int[] optSequence = null;
optimizer.OptimalSequence.Subscribe(seq => optSequence = seq);
var cast = optimizer as BranchAndBoundOptimizer;
cast.ClosedPath = false;
cast.Start(_token, _action, 1, length - 2);
cell.InnerMinSequence = optSequence.Skip(1).Take(length - 2).ToArray();
});
}
