The grey wolf optimization (GWO) algorithm is widely utilized in many global applications. In this paper, a dynamic opposite learning-assisted optimizer (DOLGWO) was proposed to improve the search ability. Herein, learning (DOL) strategy adopted, which has an asymmetric space and can adjust with random point enhance exploitation exploration capabilities. To validate performance of DOLGWO algori...

Abstract In this study, we consider a class of multiple-drawing opposite-reinforcing urns with time-dependent replacement rules. The has the symmetric property Friedman-type urn. We divide into small-increment regime and large-increment regime. For schemes, prove almost-sure convergence central limit theorem for proportion white balls by stochastic approximation. assuming affinity condition, sh...