The document summarizes the standard genetic algorithm approach. It describes representing solutions as genotypes, evaluating phenotypes by interpreting genotypes, initializing a population randomly, and running a generational loop that selects parents preferentially based on fitness, performs crossover and mutation on parents to create offspring, replaces the parental population with offspring, and iterates until a termination condition is met. It notes that evaluations can be simple or complex, and issues like noise and computation time can arise in practice.