public static double Solve(int population_size, int dimension_count, CostEvaluationMethod evaluator, CreateBeeMethod generator, out Bee global_best_solution, double[] lower_bounds = null, double[] upper_bounds = null, object constraints = null, double tolerance = 0.000001, int maxIterations = 100000)
{
BeeSwarm <Bee> solver = new BeeSwarm <Bee>(60, 15, 30, 20, 10, evaluator, generator);
solver.LowerBounds = lower_bounds;
solver.UpperBounds = upper_bounds;
solver.Constraints = constraints;
solver.LocalSearchRegion = new double[dimension_count];
for (int i = 0; i < dimension_count; ++i)
{
solver.LocalSearchRegion[i] = (upper_bounds[i] - lower_bounds[i]) / 1000;
}
solver.Initialize();
int iteration = 0;
double cost_reduction = tolerance;
double global_best_solution_cost = solver.GlobalBestSolutionCost;
double prev_global_best_solution_cost = global_best_solution_cost;
while (cost_reduction >= tolerance && iteration < maxIterations)
{
prev_global_best_solution_cost = global_best_solution_cost;
solver.Iterate();
global_best_solution_cost = solver.GlobalBestSolutionCost;
cost_reduction = prev_global_best_solution_cost - global_best_solution_cost;
iteration++;
}
global_best_solution = solver.GlobalBestSolution.Clone() as Bee;
return(global_best_solution_cost);
}
public static double Solve(int dimension_count, CostEvaluationMethod evaluator, out Bee global_best_solution, double[] lower_bounds = null, double[] upper_bounds = null, int maxIterations = 100000, int displayEvery = 100, object constraints = null)
{
int scoutBeeCount = 60;
int bestPatch = 15;
int elitePatch = 30;
BeeSwarm <Bee> solver = new BeeSwarm <Bee>(scoutBeeCount, bestPatch, elitePatch, 20, 10, evaluator);
solver.LowerBounds = lower_bounds;
solver.UpperBounds = upper_bounds;
solver.Constraints = constraints;
solver.LocalSearchRegion = new double[dimension_count];
for (int i = 0; i < dimension_count; ++i)
{
solver.LocalSearchRegion[i] = (upper_bounds[i] - lower_bounds[i]) / bestPatch;
}
solver.Initialize();
int iteration = 0;
double global_best_solution_cost = solver.GlobalBestSolutionCost;
double prev_global_best_solution_cost = global_best_solution_cost;
while (iteration < maxIterations)
{
prev_global_best_solution_cost = global_best_solution_cost;
solver.Iterate();
global_best_solution_cost = solver.GlobalBestSolutionCost;
if (iteration % displayEvery == 0)
{
Console.WriteLine("Generation: {0}, Best Cost: {1}", iteration, global_best_solution_cost);
}
iteration++;
}
global_best_solution = solver.GlobalBestSolution.Clone() as Bee;
return(global_best_solution_cost);
}
