Research on Multi-Objective Cloud Task Scheduling Based on Memetic Algorithm

The MA based on the tabu search algorithm is introduced to improve the MA based on the Hill Climbing Algorithm to improve the efficiency of the implementation of the entire cloud environment. Finally, on the CloudSim simulation platform, the feasibility and validity of Tabu search algorithm are verified by comparison with existing genetic algorithm and Memetic algorithm based on Hill Climbing algorithm.