Adaptive simulated annealing

Known as: ASA 
Adaptive simulated annealing (ASA) is a variant of simulated annealing (SA) algorithm in which the algorithm parameters that control temperature… (More)
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2017
2017
PID controllers are one of the most popular types of controllers found in the industry; they require determining three real… (More)
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2015
2015
The nearest neighbour (KNN) supervised classification technique is widely known and used. This technique can be expensive… (More)
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2003
2003
It is difficult to determine the appropriate temperature parameters which control the acceptance probability in Simulated… (More)
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2001
2001
Digital IIR Filter Design Using Adaptive Simulated Annealing S. Chen,∗ R. Istepanian,† and B. L. Luk‡ ∗Department of Electronics… (More)
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Highly Cited
1999
Highly Cited
1999
Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods are… (More)
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1999
1999
Template learning has potential application in several areas of Cellular Neural Network research, including texture recognition… (More)
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Highly Cited
1996
Highly Cited
1996
Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can… (More)
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Highly Cited
1995
Highly Cited
1995
A new heuristic approach for minimizing possibly nonlinear and non differentiable continuous space functions is presented. By… (More)
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Highly Cited
1993
Highly Cited
1993
Adaptive Simulated Annealing (ASA) is a C-language code de veloped to statistically find the best global fit of a nonlinear… (More)
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Highly Cited
1993
Highly Cited
1993
Simulated annealing (SA) presents an optimization technique with several striking positive and negative features. Perhaps its… (More)
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