population

Introduction

variables required

• population size
• mutation rate
• number of populations
• population crossover
• selection method - stochastic sampling, rank, map, ...
• crossover rate
• chromosome type
• generation type - replace current, add to current, ...

functions required

ctor(set_all_parameters...)

run(int ngenerations)

run the GA for next n generations, or until the population is stable, whichever comes first.

vector list_best(int nbest [, int pop])

returns a vector containing the n fittest chromosomes in the population numbered pop, or the fittest n overall if undefined (or pop is negative)

run_once()

run the GA for one generation