Fig. 7: Algorithmic flowchart for DE/best/1/bin.
From: Highly efficient modeling and optimization of neural fiber responses to electrical stimulation
G = generation number; Gmax = maximum number of generations permitted; Xi,G = population member/candidate solution i in generation G; \({{{\bf{X}}}}_{{{\rm{r}}}0,G}\), \({{{\bf{X}}}}_{{{\rm{r}}}1,G}\) = mutually exclusive random members selected from population in generation G; \({{{\bf{X}}}}_{{{\rm{best}}},G}\) = best population member in generation G; rand(0,1) = random number from uniform distribution in interval [0, 1); j = index for each element in \({{{\bf{X}}}}_{i,G}/{{{\bf{U}}}}_{i,G}/{{{\bf{V}}}}_{i,G}\); CR = crossover rate; F = mutation rate; f = loss criterion; NP = population size. a Mutation operation. b Crossover operation. c Selection operation.
