Original: In a genetic algorithm , a population of strings ( called chromosomes or the genotype of the genome ) , which encode candidate solutions ( called individuals , creatures , or phenotypes ) to an optimization problem , evolves toward better solutions .
Simplified: in the population is evaluated , and multiple individuals are stochastically selected from the current population ( based on their fitness ) , and modified ( recombined and possibly