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Computer Engineering ›› 2010, Vol. 36 ›› Issue (7): 242-245. doi: 10.3969/j.issn.1000-3428.2010.07.083

• Developmental Research • Previous Articles     Next Articles

Application of Wasp Colony Algorithm in Job-scheduling of Equipment Repair

WANG Hao, TANG Zai-jiang, FAN Rui   

  1. (Department of Equipment Command & Administration, Armored Force Engineering Academy, Beijing 100072)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-04-05 Published:2010-04-05

蜂群算法在装备维修任务调度中的应用

王 浩,汤再江,范 锐   

  1. (装甲兵工程学院装备指挥与管理系,北京 100072)

Abstract: How to schedule equipment repair is essential for the repair decision-making. Because of the great performance of Wasp Colony Algorithm(WCA) in job-scheduling especially in dynamic and stochatic job-scheduling, this paper uses the WCA to research problem of the repair scheduling. Results from the simulation instance show that WCA is of great advantage for dynamic and stochastic jobs.

Key words: damaged equipment, Wasp Colony Algorithm(WCA), job-scheduling

摘要: 如何在最短的时间内将损坏的装备修复好,是装备维修决策的重要内容之一。鉴于蜂群算法在任务调度特别是动态随机任务调度中的优势,将蜂群算法引入装备维修任务调度研究。测试案例的仿真结果表明,蜂群算法对于动态随机任务调度具有较强的优势。

关键词: 毁伤装备, 蜂群算法, 任务调度

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