General Method

• On each iteration:
  1. All members of the population are evaluated according to the fitness function.
  2. A new population is generated by probabilistically selecting the most fit individuals from the current population.
  3. Some of these individuals are carried forward into the next generation population intact.
  4. Others are used for the basis for creating new offspring individuals by applying genetic operations such as crossover and mutation.