A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state.

Topics include: Problem Solving, Uninformed Search Strategy, Uninformed Search and Exploration, Informed Search Strategy, Informed Search and Exploration, Local Search Problems and Optimization Problems, & Constraints Satisfaction Problems.