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/ genetic_optimisation.py
Last active
September 15, 2020 22:33
Minimilistic code for conducting genetic optimisation. Two parents and singe-point crossover. Tournament selection.
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| import random | |
| def create_child(population, genes, tournament_size, mutation_rate): | |
| # Breed two parents, returning (possibly mutated) offspring | |
| parent1 = select(population, tournament_size) | |
| parent2 = select(population, tournament_size) | |
| child = crossover(parent1, parent2) | |
| child = mutate(child, mutation_rate, genes) | |
| return child |