Hill climbing is an optimization algorithm that iteratively makes incremental changes to a solution, selecting the change that results in the greatest improvement, until no further improvements can be made. It is simple and effective for problems with a single peak but can get stuck in local maxima in complex landscapes without additional strategies like random restarts or simulated annealing.