Simulated Annealing 2008
DOI: 10.5772/5560
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Practical Considerations for Simulated Annealing Implementation

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Cited by 42 publications
(33 citation statements)
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“…The algorithm proceeds by decreasing the temperature till it converges to minimum. Here we used Mathematica 10 to employ the procedure, but the interested readers can read the details of simulated annealing from ref [35]. Training of network will lead us to the final values of network adaptive coefficients that will be replaced in Eq.…”
Section: Lsann Formulation For Fractional Differential Equationsmentioning
confidence: 99%
“…The algorithm proceeds by decreasing the temperature till it converges to minimum. Here we used Mathematica 10 to employ the procedure, but the interested readers can read the details of simulated annealing from ref [35]. Training of network will lead us to the final values of network adaptive coefficients that will be replaced in Eq.…”
Section: Lsann Formulation For Fractional Differential Equationsmentioning
confidence: 99%
“…, are simulated annealing solutions to a linear scheduling problem. Afterwards, the algorithm duration-gradient process is established as per Ledesma et al [15] in…”
Section: System Implementationmentioning
confidence: 99%
“…Duration values are discrete values selected based on a definitive convergence-gradient algorithm, which will be presented later. In order to enhance simulated annealing efficiency, a definitive number of iterative processes at each duration level are generated as per Ledesma et al [15] in = { 1, , 2, , 3, , . .…”
Section: System Implementationmentioning
confidence: 99%
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“…According to that and considering previous works related to this topic [5][6][7], the authors propose an optimization methodology based on heuristic approaches. More specifically, the authors have developed a numerical model based on Simulated Annealing [8][9][10][11][12][13] since this formulation can include natively continuum and discrete design variables and it obtains optimal solutions for real cases in an acceptable computing time.…”
Section: Optimization Algorithmmentioning
confidence: 99%