Author: Livio Fenga; Carlo Del Castello
Title: CoViD19 Meta heuristic optimization based forecast method on time dependent bootstrapped data Document date: 2020_4_7
ID: j1p4nmsa_36
Snippet: The following pseudocode presents the simulated annealing heuristic applied to bootstrap replicates. For each bootstrap it starts from a state s 0 and continues searching solutions until temperature decay reaches a low temperature. In the process, the call Neighbour(s, φ) should generate a randomly chosen neighbour of a given state s; the call Random U (0, 1) should pick and return a value in the range [0, 1], uniformly at random. The annealing .....
Document: The following pseudocode presents the simulated annealing heuristic applied to bootstrap replicates. For each bootstrap it starts from a state s 0 and continues searching solutions until temperature decay reaches a low temperature. In the process, the call Neighbour(s, φ) should generate a randomly chosen neighbour of a given state s; the call Random U (0, 1) should pick and return a value in the range [0, 1], uniformly at random. The annealing schedule is defined by the temperature decay based on the fixed cooling rate Ï.
Search related documents:
Co phrase search for related documents- cooling rate and low temperature: 1, 2
Co phrase search for related documents, hyperlinks ordered by date