Fig. 12

Histogram of \((|{\mathbf P} |, \eta )\) representing the best population size \(|{\mathbf P} |\) and the best neighborhood scaling factor \(\eta\) for all scenarios. Here, the meaning of best implies the tuple \((|{\mathbf P} |, \eta )\) which achieves the smallest number of evaluations to converge given a tolerance value. a The case when convergence is evaluated using \(\hbox {Tol }= 1\). b The case when convergence is evaluated using \(\hbox {Tol }= 10^{-1}\). c The case when convergence is evaluated using \(\hbox {Tol }= 10^{-2}\). d The case when convergence is evaluated using \(\hbox {Tol }= 10^{-3}\)