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

HAO Xiao-hong; HAN Yu-fang; YAN Yan

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

更新时间：2026-09-04

- Research on Multi-Objective Cloud Task Scheduling Based on Memetic Algorithm
- Vol. 35, Issue 1, Pages: 61-65(2018)
- 作者机构：
  
  兰州理工大学机构计算机通信学院,甘肃,兰州,730050
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
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郝晓弘, 韩于芳, 晏燕. 基于文化基因算法的多目标云任务调度研究[J]. 微电子学与计算机, 2018, 35(1): 61-65, 71.

HAO Xiao-hong, HAN Yu-fang, YAN Yan. Research on Multi-Objective Cloud Task Scheduling Based on Memetic Algorithm[J]. 2018, 35(1): 61-65.
郝晓弘, 韩于芳, 晏燕. 基于文化基因算法的多目标云任务调度研究[J]. 微电子学与计算机, 2018, 35(1): 61-65, 71. DOI：

HAO Xiao-hong, HAN Yu-fang, YAN Yan. Research on Multi-Objective Cloud Task Scheduling Based on Memetic Algorithm[J]. 2018, 35(1): 61-65. DOI：

摘要

提出了基于禁忌搜索算法的文化基因算法

从而提高整个云环境的执行效率.最后在CloudSim模拟仿真平台上

将其与基于遗传算法和基于爬山算法的文化基因算法进行了比较

从而对基于禁忌搜索算法的文化基因算法的可行性和有效性进行实验验证.

Abstract

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.

关键词

Keywords

references

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黄超, 胡德敏, 余星. 多目标遗传算法在云计算任务调度中的应用[J]. 信息技术, 2014, 38(5): 130-134. DOI: 130

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