Local search algorithms are optimization techniques that explore the solution space by iteratively moving to neighboring solutions, often used when the search space is large and complex. They are particularly useful in finding satisfactory solutions quickly for problems where exhaustive search is computationally infeasible, though they may get trapped in local optima without global guarantees.