In stochastic optimization, the term "metaheuristics" is sometimes used in an unfortunate manner to describe a major subfield, indeed the primary subfield. Generally speaking, stochastic optimization is the process of utilizing a certain degree of randomness to find (or as close to) the best solution to a difficult problem. There are many different types of metaheuristic algorithms, and they can be applied to a variety of problems.