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改进离散粒子群算法及其在飞机装配任务调度中的应用研究

  

  • 出版日期:2013-02-27 发布日期:2015-06-10

Aircraft assembly task scheduling based on improved discrete particle swarm optimization

  • Online:2013-02-27 Published:2015-06-10

摘要: :论文阐述了飞机装配过程中任务调度的重要意义,介绍了当前调度算法的
研究现状,对离散粒子群优化算法进行研究并在此基础上提出一种基于激励原则的改进离散
粒子群优化算法。最后以某型飞机尾段装配流程为对象对改进后的算法进行验证,得到良好
效果。

关键词: 飞机装配, 任务调度, 改进离散粒子群优化算法, 激励原则

Abstract: The importance of task scheduling in aircraft assembly process and the current
research status of scheduling algorithm is introduced. The discrete particle swarm optimization is
analyzed, and an improvement of the algorithm based on self motivation principle is proposed.
The improved algorithm has been well verified by the actual assembly process of an aircraft’s tail
section.

Key words: aircraft assembly, task scheduling, improved DPSO, self motivation principle