基于Pareto排序法的战时装备维修任务多目标调度方法
发布时间：2019-05-19 09:04
【摘要】：针对战时武器装备维修保障问题,建立了包括最大完工时间、延迟时间和维修单元负荷在内的多目标优化调度模型。为提高解的多样性和收敛性,构建了一种基于Pareto排序法和小生境技术相结合的遗传算法用于模型求解,引入Pareto排序和拥挤距离进行适应度计算,通过混沌系统随机生成权重系数,并使用小生境技术改进选择方式。通过实例验证表明,该方法能够有效地解决装备维修多目标调度问题。
[Abstract]:In order to solve the problem of weapon equipment maintenance support in war, a multi-objective optimal scheduling model, including maximum completion time, delay time and maintenance unit load, is established. In order to improve the diversity and convergence of the solution, a genetic algorithm based on Pareto sequencing method and niche technique is constructed to solve the model, and Pareto ranking and congestion distance are introduced to calculate the fitness. The weight coefficient is generated randomly by chaotic system, and the niche technique is used to improve the selection method. The example shows that this method can effectively solve the multi-objective scheduling problem of equipment maintenance.
【作者单位】： 中北大学机械与动力工程学院;
【基金】：山西省自然科学基金资助项目(2015011060)
【分类号】：E92;TP18
，
本文编号：2480592
[Abstract]:In order to solve the problem of weapon equipment maintenance support in war, a multi-objective optimal scheduling model, including maximum completion time, delay time and maintenance unit load, is established. In order to improve the diversity and convergence of the solution, a genetic algorithm based on Pareto sequencing method and niche technique is constructed to solve the model, and Pareto ranking and congestion distance are introduced to calculate the fitness. The weight coefficient is generated randomly by chaotic system, and the niche technique is used to improve the selection method. The example shows that this method can effectively solve the multi-objective scheduling problem of equipment maintenance.
【作者单位】： 中北大学机械与动力工程学院;
【基金】：山西省自然科学基金资助项目(2015011060)
【分类号】：E92;TP18
，
本文编号：2480592
本文链接：https://www.wllwen.com/kejilunwen/zidonghuakongzhilunwen/2480592.html
