A BRIEF SURVEY ON HYBRID METAHEURISTICS: The term metaheuristic was introduced to define heuristic methods that can be applied to a wide set of different problems. In other words, a metaheuristic can be seen as a general algorithmic framework which can be applied to different optimization problems with relatively few modifications to make them adapted to a specific problem. Genetic and evolutionary algorithms, tabu search, simulated annealing, iterated local search, and ant colony optimization, just to name a few, are typical representatives falling under this generic term. Each of them has an individual historical background, follows certain paradigms and philosophies, and puts one or more particular strategic concepts in the foreground.

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