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: An evolutionary phase is initialised with a population of randomly generated entities ( or human specified instances of high quality ) .