Dynamic Task Scheduling Problem Based on Grey Wolf Optimization Algorithm

Abstract

At the present time, in contrast with the past, this paper achieves the most challenging problems in distributed computing system named as Dynamic Task Scheduling Problem (DTSP). In this paper, the DTSP optimizes with a multi-objective meta-heuristics. At this point, the Grey Wolf Optimization Algorithm (GWOA) is the use of global optimization to augment the execution of the Dynamic task scheduling problem. By simulation process, the GWOA provides better performance by comparing the results of other optimization algorithms.