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On Eigenvalues and Annealing Rates
17
Citations
3
References
1988
Year
Spectral TheoryNumerical AnalysisEngineeringMatrix AnalysisStochastic OptimizationSimulated AnnealingOptimization ProblemComputer EngineeringAnnealing RatesComputational ComplexityTransition Rate MatricesStochastic AnalysisMatrix TheoryLangevin EquationRandom MatrixOptimal AnnealingApproximation Theory
We evaluate asymptotically the eigenvalues of transition rate matrices (Q ij ϵ ) i,j=1 n with Q ij ϵ ∼ exp(−(U(j) − U(i)) + /ϵ) for some function U using Ventcel's graphic method. As a consequence, we can compare the “nearly optimal” annealing rate in (Gidas, B. 1985. Global optimization via the Langevin equation. Proc. 24th IEEE Conf. Decision and Control, Ft. Lauderdale, FL, December.) with the true optimal rate in (Hajek, B. Cooling schedules for optimal annealing. Preprint.). A necessary and sufficient condition is given for the coincidence of those rates.
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