tackled using the local search heuristic of threshold accepting. A comparison with pointwise and asymptotic bands is provided …

Threshold Accepting (TA) is a powerful optimization heuristic from the class of stochastic local search algorithms. It …

convergence of the estimator itself with the analysis of the convergence of stochastic optimization algorithms, e.g. threshold … accepting, to the theoretical estimator. We discuss the joint convergence of estimator and algorithm in a formal framework. An …

convergence of the estimator itself with the analysis of the convergence of stochastic optimization algorithms, e.g. threshold … accepting, to the theoretical estimator. We discuss the joint convergence of estimator and algorithm in a formal framework. An …

Threshold Accepting (TA) is a powerful optimization heuristic from the class of stochastic local search algorithms. It …

threshold accepting trained wavelet neural network (TAWNN) (Vinaykumar et al., 2008) and WNN in benchmark datasets by wide …