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Simulated Annealing

2016
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search ...
Ke-Lin Du, M. N. S. Swamy
openaire   +3 more sources

Coupled Simulated Annealing

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010
We present a new class of methods for the global optimization of continuous variables based on simulated annealing (SA). The coupled SA (CSA) class is characterized by a set of parallel SA processes coupled by their acceptance probabilities. The coupling is performed by a term in the acceptance probability function, which is a function of the energies ...
Samuel, Xavier-de-Souza   +3 more
openaire   +2 more sources

Faster Simulated Annealing

SIAM Journal on Optimization, 1995
Summary: By cooling slightly more slowly than the canonical schedule and simulating direct self-loop sequences implicitly, the computer time to execute simulated annealing given the number of accepted moves becomes proportional to that number in expectation and, in a certain sense, almost surely.
openaire   +1 more source

Simulated Simulated Annealing

American Journal of Mathematical and Management Sciences, 1988
SYNOPTIC ABSTRACTThe principal shortcoming of simulated annealing (SA) is that it takes too much computer time. We present a few “swindling” ideas for speeding up SA by simulating its action on a problem. The increase in speed is attained at the cost of decreasing generality — the methods all require the use of problem-specific information.
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On Simulated Annealing and Nested Annealing

Journal of Global Optimization, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Simulated Annealing

2023
Francisco José da Cunha Pires Soeiro   +2 more
  +4 more sources

Simulated Annealing

2008
P. Bettinger, K. Boston, J. Sessions
  +4 more sources

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Simulated Annealing

2018
Bastien Chopard, Marco Tomassini
  +4 more sources

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