Local optimization refers to the process of finding the best solution within a neighboring set of possible solutions, often without regard to the global best solution. It is useful in complex systems where finding the absolute best solution is computationally expensive or infeasible, but it risks getting trapped in suboptimal solutions due to its limited search scope.