This document describes the genetic algorithm process in 3 sentences:
The genetic algorithm begins with an initial population of randomly generated solutions. It then iteratively applies genetic operators like selection, crossover and mutation to evolve the population toward better solutions, until a termination condition is reached. The fitness of each solution is evaluated at each generation to guide the selection of solutions to reproduce and create the next generation population.