biopython v1.71.0 Bio.GA.Selection.Diversity.DiversitySelection
Implement diversity selection.
Diversity selection is performed by trying to select individuals from the population that aren’t already in the new_population. A group of selected individuals is then subjected to selection using a passed selection routine.
If new individuals can not be selected, new individuals will be randomly generated and inserted into the population.
Link to this section Summary
Initialize a diversity selector
Get a new organism from old_pop that isn’t in new_pop
Perform selection on the current population, encouraging diversity
Link to this section Functions
Initialize a diversity selector.
- internal_selector - A selection object that will be used to select individuals based on fitness, perform crossover, mutation and repair.
- genome_generator - A function that, when called, will return a genome to be used for a new organism. The genome returned must be a MutableSeq() object.
Get a new organism from old_pop that isn’t in new_pop.
This attempts to select an organism from old_pop that isn’t in new_pop. If we can’t do this in the number of tries specified by the class attribute random_tries, we generate a new random organism and return that.
Perform selection on the current population, encouraging diversity.