计算机集成制造系统 ›› 2013, Vol. 19 ›› Issue (05 ): 909-917.

• 产品创新开发技术 • 上一篇    下一篇

基于最大适应度优化算法的订单产品模块化设计方法

鲁玉军1,2,雷呈瑜1,顾新建2,祁国宁2   

  1. 1.浙江理工大学机械与自动控制学院
    2.浙江大学现代制造工程研究所
  • 出版日期:2013-05-31 发布日期:2013-05-31

Modular design of order product based on improved LFM algorithm

  • Online:2013-05-31 Published:2013-05-31

摘要: 通过研究复杂网络社团的层次性和重叠性,分析订单产品的产品结构特点,将复杂网络技术引入订单产品模块化设计中,构建订单产品的零部件关系网络表示方法,指出订单产品零部件关系网络中的网络簇(社团结构)可以看作是产品的模块。提出基于节点度的最大适应度优化算法,并将其应用于订单产品的模块化设计中。该算法能够在体现产品族网络层次性和重叠性的同时,快速划分出合理的产品模块。利用网络模块性评价函数(即Q函数),对模块划分结果进行了有效评价。以注塑机产品的模块化设计为例验证了该方法的系统性和可行性。

关键词: 订单产品, 复杂网络, 社团结构, 模块化设计, 最大适应度优化算法

Abstract: By studying the characteristics of overlapping and hierarchy of complex network community structure and analyzing the characteristics of order products'structure,complex network technique was introduced into modular design of order products and an expression method of product components relationship network was formed.According to this method,the network clusters (community structure) of complex product family network in essence could be regarded as modules of product.An improved Largest Fitness Measure (LFM) algorithm based on the degree of the nodes was put forward and was applied in modular design of order product.In this algorithm,reasonable product modules could be partitioned rapidly while overlapping and hierarchical community structures of complex product family were also revealed simultaneously.Using the Q function as the modular evaluation function,the result of modules compartmentalization was evaluated effectively.The modular design of a wheel loader platform was utilized as an example to demonstrate the effectiveness and feasibility of the method.

Key words: order product, complex network, community structure, modular design, largest fitness measure algorithm

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