/// <summary>
/// Creates the next generation of programs. This method also keeps tabs on memory
/// as it creates the new Population. If we run out of physical memory then the
/// new Population size is changed to wherever we ran out of memory.
/// </summary>
/// <param name="nGeneration">Which generation is currently being processed</param>
/// <param name="Population">Reference to the Population just computed for fitness</param>
/// <param name="Fitness">Fitness object with the fitness computation results</param>
/// <param name="AutoReproduce">List of programs to automatically reproduce into the next generation</param>
/// <returns>Reference to the new Population to use</returns>
public GPPopulation ComputeNext(int nGeneration, GPPopulation Population, GPFitness Fitness, List <GPProgram> AutoReproduce)
{
m_PopCurrent = Population;
m_Fitness = Fitness;
//
// Setup the program selection delegate
switch (m_ModelerConfig.Profile.Reproduction)
{
case GPEnums.Reproduction.Tournament:
ExecProgramSelection = new DELProgramSelection(Fitness.FitnessSelection.SelectProgramTournament);
break;
case GPEnums.Reproduction.OverSelection:
ExecProgramSelection = new DELProgramSelection(Fitness.FitnessSelection.SelectProgramOverSelection);
break;
}
//
// Create a Tree Factory object - It helps in support of the mutation and
// crossover operations
m_TreeFactory = new GPProgramTreeFactory(m_ModelerConfig, m_InputDimension);
return(ComputeNext(Population, Fitness, AutoReproduce));
}
/// <summary>
/// Constructor: Create the program factory that will be used by derived classes
/// to create the individual programs.
/// </summary>
/// <param name="Config"></param>
/// <param name="InputDimension"></param>
public GPGeneratePopulation(GPModelerServer Config, short InputDimension)
{
m_Config = Config;
//
// Create a program tree factor that will be used for creating new
// program trees.
m_TreeFactory = new GPProgramTreeFactory(Config, InputDimension);
}
