discussed, it's followed by the discussion of PSO inertia weight and constriction factor as well as issues related to parameter … setting, selection and tuning, dynamic environments, and hybridization. Also, we introduced the other representation …

of the parameter setting, and of enabling their usage in parallel environments, a parallel hyperheuristic is also applied …

Three main models of parameter setting have been proposed: the Variational model proposed by Yang (2002; 2004), the … Structured Acquisition model endorsed by Baker (2001; 2005), and the Very Early Parameter Setting (VEPS) model advanced by Wexler … statistical learning mechanisms to decide among competing parameter values, so this model anticipates delays in parameter setting …

Finding good parameter values for meta-heuristics is known as the parameter setting problem. A new parameter tuning …