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metaheuristic A top-level general strategy which guides other heuristics to search for feasible solutions in domains where the task is hard. Metaheuristics have been most generally applied to problems classified as NP-Hard or NP-Complete by the theory of computational complexity. However, metaheuristics would also be applied to other {combinatorial} {optimisation} problems for which it is known that a polynomial-time solution exists but is not practical. Examples of metaheuristics are {Tabu Search}, simulated annealing, genetic algorithms and {memetic algorithms}. (1997-10-30)
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