Genetic Algorithm - Simple Generational Genetic Algorithm Procedure

Simple Generational Genetic Algorithm Procedure

  1. Choose the initial population of individuals
  2. Evaluate the fitness of each individual in that population
  3. Repeat on this generation until termination (time limit, sufficient fitness achieved, etc.):
    1. Select the best-fit individuals for reproduction
    2. Breed new individuals through crossover and mutation operations to give birth to offspring
    3. Evaluate the individual fitness of new individuals
    4. Replace least-fit population with new individuals

Read more about this topic:  Genetic Algorithm

Famous quotes containing the words simple and/or genetic:

    “... it is always the simple that produces the marvelous.”
    —Amelia E. Barr (1831–1919)

    “Nature, we are starting to realize, is every bit as important as nurture. Genetic influences, brain chemistry, and neurological development contribute strongly to who we are as children and what we become as adults. For example, tendencies to excessive worrying or timidity, leadership qualities, risk taking, obedience to authority, all appear to have a constitutional aspect.”
    —Stanley Turecki (20th century)