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
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.