Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (12): 273-278.DOI: 10.3778/j.issn.1002-8331.2003-0038

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Application of MapReduce Technology in Problem of Material Transportation and Stowage

CHEN Yuanwen   

  1. College of Equipment Management and Support, Engineering University of Chinese People’s Armed Police Force, Xi’an 710086, China
  • Online:2021-06-15 Published:2021-06-10



  1. 武警工程大学 装备管理与保障学院,西安 710086


Aiming at the problem that multi-objective genetic algorithms for solving complex material scheduling and stowage problems take a long time, this paper designs a parallel deployment and improvement scheme based on cloud computing MapReduce technology. The experiments compare the timeliness of the algorithm in a variety of serial and parallel environments, confirming that the MapReduce architecture can greatly improve the time-consuming performance of the algorithm under certain circumstances.

Key words: material transportation and stowage, multi-objective genetic algorithms, MapReduce, parallel



关键词: 物资调运及配载, 多目标遗传算法, MapReduce, 并行化