/// <summary>
/// Creates a new solver.
/// </summary>
/// <param name="population_size"></param>
/// <param name="stagnation"></param>
/// <param name="generation_operation"></param>
/// <param name="cross_over_operation"></param>
public EdgeAssemblyCrossOverSolver(int population_size, int stagnation,
IGenerationOperation <List <int>, GeneticProblem, Fitness> generation_operation,
ICrossOverOperation <List <int>, GeneticProblem, Fitness> cross_over_operation)
{
//_stopped = false;
_stagnation = stagnation;
_population_size = population_size;
_generation_operation = generation_operation;
_cross_over_operation = cross_over_operation;
}
/// <summary>
/// Creates a new solver.
/// </summary>
/// <param name="population_size"></param>
/// <param name="stagnation"></param>
/// <param name="generation_operation"></param>
/// <param name="cross_over_operation"></param>
public EdgeAssemblyCrossOverSolver(int population_size, int stagnation,
IGenerationOperation<List<int>, GeneticProblem, Fitness> generation_operation,
ICrossOverOperation<List<int>, GeneticProblem, Fitness> cross_over_operation)
{
//_stopped = false;
_stagnation = stagnation;
_population_size = population_size;
_generation_operation = generation_operation;
_cross_over_operation = cross_over_operation;
}
/// <summary>
/// Creates a genetic solver.
/// </summary>
public GeneticSolver()
{
_mutation_operation = new BestDetailedPlacementMutationOperation();
_cross_over_operation = new SequentialContructiveCrossoverOperator();
_generation_operation = new BestPlacementGenerationOperation();
_eltism = 10;
_mutation = 30;
_cross = 20;
_population = 20;
_stagnation_count = 100;
}
/// <summary>
/// Creates a genetic solver.
/// </summary>
public GeneticSolver()
{
_mutation_operation = new BestDetailedPlacementMutationOperation();
_cross_over_operation = new SequentialContructiveCrossoverOperator();
_generation_operation = new BestPlacementGenerationOperation();
_eltism = 10;
_mutation = 30;
_cross = 20;
_population = 20;
_stagnation_count = 100;
}
/// <summary>
/// Creates a new solver.
/// </summary>
/// <param name="settings"></param>
/// <param name="selector"></param>
/// <param name="combined_operation"></param>
/// <param name="problem"></param>
/// <param name="fitness_calculator"></param>
public Solver(
ProblemType problem,
SolverSettings settings,
ISelector <GenomeType, ProblemType, WeightType> selector,
IOperation <GenomeType, ProblemType, WeightType> combined_operation,
IFitnessCalculator <GenomeType, ProblemType, WeightType> fitness_calculator)
{
_problem = problem;
_settings = settings;
_selector = selector;
_mutation_operation = combined_operation;
_crossOverOperation = combined_operation;
_generation_operation = combined_operation;
_fitness_calculator = fitness_calculator;
}
/// <summary>
/// Creates a genetic solver.
/// </summary>
/// <param name="population"></param>
/// <param name="stagnation"></param>
/// <param name="elitism"></param>
/// <param name="mutation_operation"></param>
/// <param name="mutation"></param>
/// <param name="cross_over_operation"></param>
/// <param name="cross_over"></param>
/// <param name="generation_operation"></param>
public GeneticSolver(int population, int stagnation, int elitism,
IMutationOperation <List <int>, GeneticProblem, Fitness> mutation_operation, int mutation,
ICrossOverOperation <List <int>, GeneticProblem, Fitness> cross_over_operation, int cross_over,
IGenerationOperation <List <int>, GeneticProblem, Fitness> generation_operation)
{
_mutation_operation = mutation_operation;
_cross_over_operation = cross_over_operation;
_generation_operation = generation_operation;
_eltism = elitism;
_mutation = mutation;
_cross = cross_over;
_population = population;
_stagnation_count = stagnation;
}
/// <summary>
/// Creates a new solver.
/// </summary>
/// <param name="problem"></param>
/// <param name="settings"></param>
/// <param name="selector"></param>
/// <param name="mutation"></param>
/// <param name="cross_over"></param>
/// <param name="generation"></param>
/// <param name="fitness_calculator"></param>
/// <param name="accept_only_better_cross_over"></param>
/// <param name="accept_only_better_mutation"></param>
public Solver(
ProblemType problem,
SolverSettings settings,
ISelector <GenomeType, ProblemType, WeightType> selector,
IMutationOperation <GenomeType, ProblemType, WeightType> mutation,
ICrossOverOperation <GenomeType, ProblemType, WeightType> cross_over,
IGenerationOperation <GenomeType, ProblemType, WeightType> generation,
IFitnessCalculator <GenomeType, ProblemType, WeightType> fitness_calculator,
bool accept_only_better_cross_over, bool accept_only_better_mutation)
{
_problem = problem;
_settings = settings;
_selector = selector;
_generation_operation = generation;
_mutation_operation = mutation;
_crossOverOperation = cross_over;
_fitness_calculator = fitness_calculator;
_accept_only_better_on_cross_over = accept_only_better_cross_over;
_accept_only_better_on_mutation = accept_only_better_mutation;
}
/// <summary>
/// Creates a genetic solver.
/// </summary>
/// <param name="population"></param>
/// <param name="stagnation"></param>
/// <param name="elitism"></param>
/// <param name="mutation_operation"></param>
/// <param name="mutation"></param>
/// <param name="cross_over_operation"></param>
/// <param name="cross_over"></param>
/// <param name="generation_operation"></param>
public GeneticSolver(int population, int stagnation, int elitism,
IMutationOperation<List<int>, GeneticProblem, Fitness> mutation_operation, int mutation,
ICrossOverOperation<List<int>, GeneticProblem, Fitness> cross_over_operation, int cross_over,
IGenerationOperation<List<int>, GeneticProblem, Fitness> generation_operation)
{
_mutation_operation = mutation_operation;
_cross_over_operation = cross_over_operation;
_generation_operation = generation_operation;
_eltism = elitism;
_mutation = mutation;
_cross = cross_over;
_population = population;
_stagnation_count = stagnation;
}
