Publication | Closed Access
On the Convergence Rate of Annealing Processes
57
Citations
4
References
1988
Year
State IEngineeringStochastic OptimizationEntropyEntropy ProductionSimulated AnnealingStochastic SystemMarkov KernelStochastic Dynamical SystemAlgorithmic Information TheoryComputational ComplexityConvergence RateEnergy LevelProbability TheoryThermodynamicsCombinatorial OptimizationApproximation TheoryForward Equations
For the class of inhomogeneous Markov processes arising from simulated annealing, it is shown that ${{\lim _{t \to \infty } P(X_t = i)} / {\exp ({{ - u(i)} / {T(t)}})}}$ exists and is positive for each state i, where $T(t)$ is the temperature and $u(i)$ is the energy level at i (assuming that min; $u(i) = 0$). The method used is to consider the Forward equations associated with such processes.
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