Algorithms
- ea_generate_update(toolbox, generations, hof=None, stats=None, verbose=False)
An evolutionary algorithm. This function expects the ‘generate’, ‘update’, and ‘evaluate’ operators to be registered in the toolbox.
- Parameters
toolbox (Toolbox) – A Toolbox which contains the evolution operators.
generations (int) – The number of generations to compute.
hof (Hof) – A HallOfFame or a ParetoFront object, optional.
stats (Stats) – A Statistics or a MultiStatistics object, optional.
verbose (bool) – Whether to print debug messages, optional.
- Returns
The final population and the logbook.
- Return type
- ea_mu_comma_lambda(toolbox, population, generations, offsprings, survivors, cx_prob, mut_prob, hof=None, stats=None, verbose=False)
An evolutionary algorithm. This function expects the ‘mate’, ‘mutate’, ‘select’ and ‘evaluate’ operators to be registered in the toolbox. The survivors are selected only from the offspring population.
- Parameters
toolbox (Toolbox) – A Toolbox which contains the evolution operators.
population (list) – A list of individuals to evolve.
generations (int) – The number of generations to compute.
offsprings (int) – The number of individuals to produce at each generation.
survivors (int) – The number of individuals to select from the offspring.
cx_prob (float) – The probability of mating two individuals.
mut_prob (float) – The probability of mutating an individual.
hof (Hof) – A HallOfFame or a ParetoFront object, optional.
stats (Stats) – A Statistics or a MultiStatistics object, optional.
verbose (bool) – Whether to print debug messages, optional.
- Returns
The final population and the logbook.
- Return type
- ea_mu_plus_lambda(toolbox, population, generations, offsprings, survivors, cx_prob, mut_prob, hof=None, stats=None, verbose=False)
An evolutionary algorithm. This function expects the ‘mate’, ‘mutate’, ‘select’ and ‘evaluate’ operators to be registered in the toolbox. The survivors are selected from the offspring and the parent populations.
- Parameters
toolbox (Toolbox) – A Toolbox which contains the evolution operators.
population (list) – A list of individuals to evolve.
generations (int) – The number of generations to compute.
offsprings (int) – The number of individuals to produce at each generation.
survivors (int) – The number of individuals to select from the offspring.
cx_prob (float) – The probability of mating two individuals.
mut_prob (float) – The probability of mutating an individual.
hof (Hof) – A HallOfFame or a ParetoFront object, optional.
stats (Stats) – A Statistics or a MultiStatistics object, optional.
verbose (bool) – Whether to print debug messages, optional.
- Returns
The final population and the logbook.
- Return type
- ea_simple(toolbox, population, generations, cx_prob, mut_prob, hof=None, stats=None, verbose=False)
An evolutionary algorithm. This function expects the ‘mate’, ‘mutate’, ‘select’ and ‘evaluate’ operators to be registered in the toolbox.
- Parameters
toolbox (Toolbox) – A Toolbox which contains the evolution operators.
population (list) – A list of individuals to evolve.
generations (int) – The number of generations to compute.
cx_prob (float) – The probability of mating two individuals.
mut_prob (float) – The probability of mutating an individual.
hof (Hof) – A HallOfFame or a ParetoFront object, optional.
stats (Stats) – A Statistics or a MultiStatistics object, optional.
verbose (bool) – Whether to print debug messages, optional.
- Returns
The final population and the logbook.
- Return type
- var_and(toolbox, population, cx_prob, mut_prob)
A subcomponent for evolutionary algorithms, which mates AND mutates each individual in the given population according to the given probabilities. Each of the two probabilities must be in the range of [0, 1]. The returned population is independent of the input population and has their fitness invalidated.
- Parameters
- Returns
A list of evolved individuals.
- Return type
- var_or(toolbox, population, offsprings, cx_prob, mut_prob)
A subcomponent for evolutionary algorithms, which mates OR mutates each individual in the given population according to the given probabilities. The sum of the two probabilities must be in the range of [0, 1]. The returned population is independent of the input population and has their fitness invalidated.
- Parameters
toolbox (Toolbox) – A Toolbox which contains the evolution operators.
population (list) – A list of individuals to evolve.
offsprings (int) – The number of individuals to produce.
cx_prob (float) – The probability of mating two individuals.
mut_prob (float) – The probability of mutating an individual.
- Returns
A list of evolved individuals.
- Return type