Encyclopedia of Sciences and Religions

2013 Edition
| Editors: Anne L. C. Runehov, Lluis Oviedo


Reference work entry
DOI: https://doi.org/10.1007/978-1-4020-8265-8_200871

Meta-heuristics is the most recent development in approximate search methods for solving complex optimization problems that arise in business, commerce, engineering, industry, and many other areas. A meta-heuristic guides a subordinate heuristic using concepts derived from artificial intelligence, biological, mathematical, natural, and physical sciences to improve their performance. Notable examples of meta-heuristics include genetic/evolutionary algorithms, Tabu search, simulated annealing, variable neighborhood search, GRASP, and ant colony optimization, among many others (see Meta-heuristics: theory and applications, I. H. Osman and J. P Kelly ed. Kluwer Academic Publishers, 1996).

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Statistics and Operational Research IUniversidad Complutense de MadridMadridSpain