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Metaheuristics: A bibliography
Authors:Ibrahim H. Osman  Gilbert Laporte
Affiliation:(1) Institute of Mathematics and Statistics, University of Kent, CT2 7NF Canterbury, Kent, UK;(2) Centre de recherche sur les transports, Université de Montréal, Succursale Centre-ville, Case postable 6128, H3C 3J7 Montréal, Canada
Abstract:
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.
Keywords:Artificial intelligence  bibliography  combinatorial optimization  constraint logic programming  evolutionary computation  genetic algorithms  greedy random adaptive search procedure  heuristics  hybrids  local search  metaheuristics  neural networks  non-monotonic search strategies  problem-space method  simulated annealing  tabu search  threshold algorithms
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