Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule

Simulated annealing has been widely used in the solution of optimization problems. As known by many researchers, the global optima cannot be guaranteed to be located by simulated annealing unless a logarithmic cooling schedule is used. However, the logarithmic cooling schedule is so slow that no one...

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Veröffentlicht in:	Journal of the American Statistical Association Jg. 109; H. 506; S. 847 - 863
Hauptverfasser:	Liang, Faming, Cheng, Yichen, Lin, Guang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Alexandria Taylor & Francis 01.06.2014 Taylor & Francis Group, LLC Taylor & Francis Ltd
Schlagworte:	Algorithms Annealing Approximation Competitors Cooling Energy value Evolution Local trap Markov chain Monte Carlo Mathematical minima Monte Carlo simulation Neural networks Optimization protein folding Sampling distributions Simulated annealing Simulation Statistics Stochastic approximation Monte Carlo Stochastic models Stochastic optimization temperature Theory and Methods Truncation
ISSN:	1537-274X, 0162-1459, 1537-274X
Online-Zugang:	Volltext
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