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The area of metaheuristics has grown immensely in the past two decades as a solution to real-world optimisation problems. They are able to perform well in situations where exact optimisation techniques fail to deliver satisfactory results. For complex optimisation problems (Nondeterministic polynomial time-hard problems), metaheuristic techniques are able to generate good quality solution in relatively much less time than traditional optimisation techniques. Metaheuristics find applications in a wide range of areas including finance, planning, scheduling and engineering design. This paper presents a review of various metaheuristic algorithms, their methodology, recent trends and applications.
Gogna et al. (Mon,) studied this question.
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