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...

Despite the advances mobile devices have endured, they still remain resource-restricted computing devices, so there is a need for technology that supports these devices. An emerging such resource-constrained called fog computing. End can offload task to close-by nodes improve quality of service and experience. Since computation offloading multiobjective problem, we consider many factors before ...

Metaheuristic algorithms are widely used for optimization in both research and the industrial community simplicity, flexibility, robustness. However, multi-modal is a difficult task, even metaheuristic algorithms. Two important issues that need to be handled solving problems (a) categorize multiple local/global optima (b) uphold these till ending. Besides, robust local search ability also prere...

Abstract A wide variety of nonlinear phenomena, such as bifurcation and chaos, have been observed in power electronics converters. Much research has conducted on these behaviours different converter topologies. The buck is known to exhibit chaotic behaviour a parameter range, giving rise unstable depending the circuit parameters values. This paper investigates this by varying voltage PI (Propor...