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基于遗传算法的装备器件更换周期优化模型

Model of Equipment Part Replacing Cycle Optimization Based on GA
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摘要 根据装备产品寿命在损耗期的特点,建立战备可用度和更换周期时间优化模型;依据遗传算法特点,提出将遗传算法用于求解更换周期优化问题的方法。采用二进制编码表示个体,通过个体适应度的检测评价,以及遗传算子的选择及定义完成对该算法的求解。 According to features of equipment lifespan during the course of wear and tear, the model which optimizes the availability and the replacing cycle is established. According to characteristics of genetic algorithm, the method of using GA to find solutions of optimizing the replacing cycle is put forward. With the binary system denoting individuality, the access of the individual adjustability, the choice and definition of genetic arithmetic operators as well, solution to the arithmetic is finished.
出处 《兵工自动化》 2008年第8期15-16,18,共3页 Ordnance Industry Automation
关键词 遗传算法 装备器件 更换周期 可用度 Genetic algorithm Equipment part Replacing cycle Availability
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参考文献3

  • 1云庆夏 等.遗传算法和遗传规划[M].北京:冶金工业出版社,1997..
  • 2雷英杰,张善文,李续武,等.MATLAB遗传算法工具箱及应用[M].西安:西安电子科技大学出版社,2006:11-61.
  • 3Goldberg D E. Genetic Algorithms in Search, Optimization & Machine Learning[M]. Addison-Wesley Publishing, 1989.

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