Initialization of metaheuristics is a crucial topic that lacks a comprehensive and systematic review of the state of … provide insights for initialization. Motivated by the aforementioned research gap, we provide a related review and begin by … initialization approaches while proposing a new categorization of them. Next, we focus on challenging optimization problems, namely …

propose a new smoothing-based initialization routine that optimizes the use of a training sample of data to obtain initials …

propose a new smoothing-based initialization routine that optimizes the use of a training sample of data to obtain initials …

Keynesian Phillips curve with learning, where we find that our estimation approach provides robustness to the initialization of …

Keynesian Phillips curve with learning, where we find that our estimation approach provides robustness to the initialization of …

distant past initialization is extended to the infinite past, the initial condition dominates the limit theory producing a …