terminates a genetic algorithm and frees memory resources

gets requested members and objective values from the current solution population

gets objective function values for a requested member of current solution population

initializes the initial solution population

reevaluates the objective function for all solutions in the current population

specifies a current crossover operator

specifies a current mutation operator

specifies a current objective function

specifies a current selection parameters

sets up a specific genetic algorithm optimization problem