Metaheuristics are the most exciting development in approximate optimization techniques of the last two decades. They have had widespread successes in attacking a variety of difficult combinatorial optimization proble...
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Metaheuristics are the most exciting development in approximate optimization techniques of the last two decades. They have had widespread successes in attacking a variety of difficult combinatorial optimization problems that arise in many, practical areas. This bibliography provides a classification of a comprehensive list of 1380 references on the theory and application of metaheuristics. Metaheuristics include but are not limited to constraint logic programming;greedy random adaptive search procedures;natural evolutionary computation;neural networks;non-monotonic search strategies;space-search methods;simulated annealing;tabu search;threshold algorithms and their hybrids. References are presented in alphabetical order under a number of subheadings.
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