public MaxMinAntSystemBL2OptBest42SP(TwoSPInstance instance, int numberAnts,
double rho, double alpha, double beta,
int maxReinit)
: base(instance.NumberItems,
TwoSPUtils.Fitness(instance, TwoSPUtils.BLCoordinates(instance, TwoSPUtils.RandomSolution(instance))),
numberAnts, rho, alpha, beta, maxReinit)
{
Instance = instance;
}
public void Start(string inputFile, string outputFile, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(inputFile);
DiscreteSS ss = new DiscreteSSBL42SP(instance, poolSize, refSetSize, explorationFactor);
ss.Run(timeLimit - timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, ss.BestSolution);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(outputFile);
}
public void Start(string fileInput, string fileOutput, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(fileInput);
int[] ordering = TwoSPUtils.DecreasingWidth(instance);
TwoSPUtils.BLLocalSearch2OptFirst(instance, ordering);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, ordering);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(fileOutput);
}
public void Start(string fileInput, string fileOutput, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(fileInput);
int levelLength = (int)Math.Ceiling(levelLengthFactor * (2 * instance.NumberItems));
DiscreteSA sa = new DiscreteSABL42SP(instance, initialSolutions, levelLength, tempReduction);
sa.Run(timeLimit - timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, sa.BestSolution);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(fileOutput);
}
public void Start(string inputFile, string outputFile, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(inputFile);
MaxMinAntSystem aco = new MaxMinAntSystemBL2OptBest42SP(instance, numberAnts, rho, alpha, beta, maxReinit);
// Solving the problem and writing the best solution found.
aco.Run(timeLimit - timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, aco.BestSolution);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(outputFile);
}
public void Start(string inputFile, string outputFile, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(inputFile);
int neighborChecks = (int)Math.Ceiling(neighborChecksFactor * (2 * instance.NumberItems));
int tabuListLength = (int)Math.Ceiling(tabuListFactor * instance.NumberItems);
DiscreteTS ts = new DiscreteTSBL42SP(instance, tabuListLength, neighborChecks);
ts.Run(timeLimit - timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, ts.BestSolution);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(outputFile);
}
public void Start(string inputFile, string outputFile, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(inputFile);
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;
}
DiscreteILS ils = new DiscreteILSBL2OptBest42SP(instance, restartIterations, perturbations, lowerBounds, upperBounds);
ils.Run(timeLimit - timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, ils.BestSolution);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(outputFile);
}
public void Start(string fileInput, string fileOutput, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(fileInput);
// Setting the parameters of the MA 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;
}
DiscreteMA memetic = new DiscreteMABL42SP(instance, (int)popSize, mutProbability, lowerBounds, upperBounds);
// Solving the problem and writing the best solution found.
memetic.Run(timeLimit - (int)timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, memetic.BestIndividual);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(fileOutput);
}
public void Start(string fileInput, string fileOutput, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(fileInput);
// Setting the parameters of the PSO 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;
}
DiscretePSO pso = new DiscretePSOBL2OptBest42SP(instance, (int)particlesCount, prevConf, neighConf, lowerBounds, upperBounds);
// Solving the problem and writing the best solution found.
pso.Run(timeLimit - (int)timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, pso.BestPosition);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(fileOutput);
}
public void Start(string fileInput, string fileOutput, int timeLimit)
{
TwoSPInstance instance = new TwoSPInstance(fileInput);
// Setting the parameters of the UMDA for this instance of the problem.
int popSize = (int)Math.Ceiling(popFactor * instance.NumberItems);
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;
}
DiscreteUMDA umda = new DiscreteUMDABL2OptBest42SP(instance, popSize, truncFactor, lowerBounds, upperBounds);
// Solving the problem and writing the best solution found.
umda.Run(timeLimit - timePenalty);
int[,] coordinates = TwoSPUtils.BLCoordinates(instance, umda.BestIndividual);
TwoSPSolution solution = new TwoSPSolution(instance, coordinates);
solution.Write(fileOutput);
}
protected override double Fitness(int[] individual)
{
return(TwoSPUtils.Fitness(Instance, TwoSPUtils.BLCoordinates(Instance, individual)));
}
protected override double Fitness(int[] solution)
{
return(TwoSPUtils.Fitness(Instance, TwoSPUtils.BLCoordinates(Instance, solution)));
}
