genetic_algorithm.h

//   OpenNN: Open Neural Networks Library
//   www.opennn.net
//
//   G E N E T I C   A L G O R I T H M   C L A S S   H E A D E R
//
//   Artificial Intelligence Techniques SL
//   artelnics@artelnics.com
 
#ifndef GENETICALGORITHM_H
#define GENETICALGORITHM_H
 
// System includes
 
#include <algorithm>
#include <cmath>
#include <ctime>
#include <fstream>
#include <functional>
#include <iostream>
#include <limits>
#include <numeric>
 
// OpenNN includes
 
#include "training_strategy.h"
#include "tensor_utilities.h"
#include "inputs_selection.h"
#include "config.h"
 
namespace OpenNN
{
 
 
class GeneticAlgorithm : public InputsSelection
{
 
public:
 
    // Constructors
 
    explicit GeneticAlgorithm();
 
    explicit GeneticAlgorithm(TrainingStrategy*);
 
    // Destructor
 
    virtual ~GeneticAlgorithm();
 
    // Get methods
 
    const Tensor<bool, 2>& get_population() const;
 
    const Tensor<type, 1>& get_fitness() const;
    const Tensor<bool, 1>& get_selection() const;
 
    Index get_individuals_number() const;
    Index get_genes_number() const;
 
    const type& get_mutation_rate() const;
 
    const Index& get_elitism_size() const;
 
    // Set methods
 
    void set_default();
 
    void set_population(const Tensor<bool, 2>&);
    void set_individuals_number(const Index&);
 
    void set_training_errors(const Tensor<type, 1>&);
    void set_selection_errors(const Tensor<type, 1>&);
 
    void set_fitness(const Tensor<type, 1>&);
 
    void set_mutation_rate(const type&);
 
    void set_elitism_size(const Index&);
 
    // GENETIC METHODS
 
    // Population methods
 
    void initialize_population();
 
    void evaluate_population();
 
    void perform_fitness_assignment();
 
    // Selection methods
 
    void perform_selection();
 
    // Crossover methods
 
    void perform_crossover();
 
    // Mutation methods
 
    void perform_mutation();
 
    // Inputs selection methods
 
    InputsSelectionResults perform_inputs_selection();
 
    // Serialization methods
 
    Tensor<string, 2> to_string_matrix() const;
 
    void from_XML(const tinyxml2::XMLDocument&);
 
    void write_XML(tinyxml2::XMLPrinter&) const;
 
    void print() const;
    
    void save(const string&) const;
    void load(const string&);
 
private:
 
 
 
    Tensor<bool, 2> population;
 
 
    Tensor<type, 1> fitness;
 
    Tensor<bool, 1> selection;
 
 
    Tensor<Tensor<type, 1>, 1> parameters;
 
    Tensor<type, 1> training_errors;
    Tensor<type, 1> selection_errors;
 
 
    type mutation_rate;
 
 
    Index elitism_size;
};
 
}
 
#endif