Simulated Annealing

Ke-Lin Du () and M. N. S. Swamy ()
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Ke-Lin Du: Xonlink Inc
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 2 in Search and Optimization by Metaheuristics, 2016, pp 29-36 from Springer

Abstract: Abstract This chapter is dedicated to simulated annealing (SA) metaheuristic for optimization. SA is a probabilistic single-solution-based search method inspired by the annealing process in metallurgy. Annealing is a physical process where a solid is slowly cooled until its structure is eventually frozen at a minimum energy configuration. Various SA variants are also introduced.

Keywords: Simulate Annealing; Markov Chain Monte Carlo; Markov Chain Monte Carlo Method; Reversible Jump Markov Chain Monte Carlo; Minimum Energy Configuration (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-41192-7_2

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