Fig. 1
From: Investigating the parameter space of evolutionary algorithms
The meta-genetic algorithm. The population consisted of simple linear genomes that contained five parameters. An individual’s fitness was obtained by launching an entire GP evolutionary run with the parameters given in the genome. pop: population size, gen: generation count, xo: crossover probability, mu: mutation probability, tour: size of tournament for tournament selection