Simulation of Heterogeneous Network Task Scheduling Based on Improved Grey Evolutionary Algorithm

Aiming at the inefficiency and local optimization problems of current heterogeneous network task scheduling methods, this paper constructs a heterogeneous network task scheduling method based on improved gray evolution and conducts experimental simulations. This article first uses the degree of relevance as a metric to construct a geometric series, based on the definition of gray relevance, uses weights to express the importance of its indicators, and then reconstructs its weights based on subjective characteristics, objective characteristics, and associated characteristic indicators. Finally, the composite weights are solved according to the relative proportional coefficients to realize the task scheduling of heterogeneous networks. It can be seen from the simulation results that the above method can meet the ideal conditions of each index