Brooks, S.P. and Morgan, B.J.T. (1995) Optimization Using Simulated Anneling. Statistician, 44 (2). pp. 241-257. ISSN 0039-0526.
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Much work has been published on the theoretical aspects of simulated annealing. This paper provides a brief overview of this theory and provides an introduction to the practical aspects of function optimization using this approach. Different implementations of the general simulated annealing algorithm are discussed, and two examples are used to illustrate the behaviour of the algorithm in low dimensions. A third example illustrates a hybrid approach, combining simulated annealing with traditional techniques.
|Uncontrolled keywords:||BOLTZMANN DISTRIBUTION; CAUCHY LIKELIHOOD; HYBRID ALGORITHM; MARKOV CHAINS; MAXIMUM LIKELIHOOD; NORMAL MIXTURE MODELS; OPTIMIZATION; SIMULATED ANNEALING|
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science|
|Depositing User:||P. Ogbuji|
|Date Deposited:||06 Jun 2009 20:40|
|Last Modified:||20 Apr 2012 13:49|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/19723 (The current URI for this page, for reference purposes)|
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