Metaheuristics: A bibliography. (English) Zbl 0849.90097
Summary: Metaheuristics are the most existing 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.
MSC:
| 90C27 | Combinatorial optimization |
| 68T05 | Learning and adaptive systems in artificial intelligence |
| 90-00 | General reference works (handbooks, dictionaries, bibliographies, etc.) pertaining to operations research and mathematical programming |
Keywords:
metaheuristics; genetic algorithms; approximate optimization; bibliography; logic programming; adaptive search; evolutionary computation; neural networks; simulated annealing; tabu search; threshold algorithms; hybridsReferences:
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