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基于改进蚁群算法的数控机床电气柜布局优化
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2017年度广西高校中青年教师基础能力提升项目(2017KY1248)


Optimization of Electrical Cabinet Layout of NC Machine Tool Based on Improved Ant Colony Algorithm
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    摘要:

    针对现有机床电气柜内部元件器的布局,依据功能划分为多个模块组合,以模块的纵、横坐标位置为设计变量,分别建立连线长度与占有面积的数学模型,在满足彼此空间距离和基本尺寸的条件下,分别求解单目标优化结果值,引入评价权系数和权重系数,建立多目标优化的数学模型。采用蚁群算法进行求解,改进蚁群算法的转化概率公式,把搜索方向作为转移概率的解空间,结合信息素挥发率,多次迭代求解。优化后模块连线体积减小了12.8%,面积减少了20%,节省生产成本,降低了电气柜的面积占有率。

    Abstract:

    In view of existing internal components layout of machine tool electric cabinet,it was divided into several modules according the functions,the vertical and horizontal coordinates of the module were taken as design variables,the mathematical models of the connection length and occupied area were established.Under the condition of meeting space distance and basic size between them,the single objective optimization result was solved respectively.Introducing the evaluation weights and weight coefficient,a multi-objective optimization mathematical model was established.The ant colony algorithm was used to solve the problem,the transformation probability formula of the ant colony algorithm was improved,the search direction was taken as the solution space of the transfer probability,and the solution was solved repeatedly by combining the pheromone volatilization rate.After optimization,the volume of the module connection has been reduced by 12.8%,the area has been reduced by 20%.The production cost is saved,and the area occupancy of the electric cabinet is reduced.

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侯军燕,胡迎春.基于改进蚁群算法的数控机床电气柜布局优化[J].机床与液压,2021,49(16):104-109.
HOU Junyan, HU Yingchun. Optimization of Electrical Cabinet Layout of NC Machine Tool Based on Improved Ant Colony Algorithm[J]. Machine Tool & Hydraulics,2021,49(16):104-109

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  • 在线发布日期: 2023-03-16
  • 出版日期: 2021-08-28