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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
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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
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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
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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
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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.
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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.
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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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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, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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