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基于最大适应度优化算法的订单产品模块化设计方法 被引量:5

Modular design of order product based on improved LFM algorithm
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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。 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.
出处 《计算机集成制造系统》 EI CSCD 北大核心 2013年第5期909-917,共9页 Computer Integrated Manufacturing Systems
基金 国家自然科学基金资助项目(50975255 60974083) 国家科技支撑计划资助项目(2011BAB02B01) 浙江省自然科学基金资助项目(LZ12F03003 Y6110478)~~
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 order product complex network community structure modular design largest fitness measure algorithm
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