Each architecture is tested multiple times against different samples of the shared weight From the paper : (1) An initial population of minimal neural network

Each architecture is tested multiple times against different samples of the shared weight From the paper : (1) An initial population of minimal neural network topologies is created (2) each network is evaluated over multiple rollouts, with a different shared weight value assigned at each rollout (3) networks are ranked according to their performance and complexity (4) a new population is created by varying the highest ranked network topologies, chosen probabilistically through tournament selection