Population New Population Selection Crossover and Mutation Insert When the new population is full repeat Generational Algorithm

Steady-State Algorithm Population Selection Crossover and Mutation Reinsert offspring, replacing low fitness individuals

The EC Cycle Population of N individuals Select pairs based on fitness Apply crossover and mutation Parents: Offspring: mutation crossover Individuals are replaced in the population (steady state) Or individuals are placed in a new population (generational) Once the new populations is filled the cycle repeats.

Representations Binary strings Integer vectors Equations Programs Graphs Etc X X Rea d 6 if do

Fitness How good is the solution? How close are the values to optimal? How often does the robot bump into walls? Etc.

Crossover and Mutation Parents: Offspring: mutation crossover mutation