# Adaptive simulated annealing

## Papers overview

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2017

2017

- AI Commun.
- 2017

PID controllers are one of the most popular types of controllers found in the industry; they require determining three realâ€¦Â (More)

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2015

2015

- IEEE Latin America Transactions
- 2015

The nearest neighbour (KNN) supervised classification technique is widely known and used. This technique can be expensiveâ€¦Â (More)

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2003

2003

- SMC
- 2003

It is difficult to determine the appropriate temperature parameters which control the acceptance probability in Simulatedâ€¦Â (More)

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2001

2001

- Digital Signal Processing
- 2001

Digital IIR Filter Design Using Adaptive Simulated Annealing S. Chen,âˆ— R. Istepanian,â€ and B. L. Lukâ€¡ âˆ—Department of Electronicsâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Signal Processing
- 1999

Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods areâ€¦Â (More)

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1999

1999

- 1999

Template learning has potential application in several areas of Cellular Neural Network research, including texture recognitionâ€¦Â (More)

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Highly Cited

1996

Highly Cited

1996

- ArXiv
- 1996

Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space canâ€¦Â (More)

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Highly Cited

1995

Highly Cited

1995

- 1995

A new heuristic approach for minimizing possibly nonlinear and non differentiable continuous space functions is presented. Byâ€¦Â (More)

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1993

Highly Cited

1993

- 1993

Adaptive Simulated Annealing (ASA) is a C-language code de veloped to statistically find the best global fit of a nonlinearâ€¦Â (More)

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Highly Cited

1993

Highly Cited

1993

- 1993

Simulated annealing (SA) presents an optimization technique with several striking positive and negative features. Perhaps itsâ€¦Â (More)

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