Simulated annealing

E.H.L. Aarts, P. Horn, van der, J.H.M. Korst, W.P.A.J. Michiels, H. Sontrop

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic


Simulated Annealing is a meta-heuristic that performs a randomized local search to reach near-optimal solutions of combinatorial as well as continuous optimization problems, In this chapter we show how it can be used to train artificial neural networks by examples. Experimental results indicate that good results can be obtained with little or no tuning.
Original languageEnglish
Title of host publicationMetaheuristic procedures for training neural networks
EditorsE. Alba, R. Marti
Place of PublicationBoston, USA
ISBN (Print)978-0-387-33415-8
Publication statusPublished - 2007

Publication series

NameOperations Research/Computer Science Interfaces Series
ISSN (Print)1387-666X


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