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Meta HeuristicA meta heuristic is an algorithmic approach to approximate optimal solutions for problems in combinatorial optimization. The name meta heuristic stems from the composition of two Greek words. Heuristic derives from the verb heuriskein () which means "to find" and the prefix meta means "beyond, in an upper level". Common meta heuristics are local search, simulated annealing, tabu search, genetic algorithms and ant systems. Many variants and hybrids of these techniques exist and can be applied in various real world applications.
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