摘要
针对传统模块化设计趋向于处理产品的功能和结构,易导致产品模块化方案环境因素考虑不足的问题,基于设计结构矩阵(DSM)、成组遗传算法(GGA)和最小描述长度(MDL)进行环境意识产品模块化体系结构设计优化.首先提出了环境意识模块化设计模型;然后从组件的功能、结构、寿命、材料和回收属性建模加权的数值化DSM;再设计整数编码GGA,以MDL为优化目标进行组件聚类;最后依据组件调节方式分析各模块的连续和离散调节属性.通过掩护式液压支架的模块规划实例和设计方案对比,证明了文中设计方法的有效性;与其他DSM聚类算法的对比和敏感度分析结果,验证了所提出GGA的效率和鲁棒特征.
Conventional modular design methods tend to deal with function and structure of products, whichleading to insufficient consideration of environmental factors in the modularization scheme. An environmentalconscious modular design optimization method based on design structure matrix （DSM）, group geneticalgorithm （GGA） and minimum description length （MDL） is proposed. Firstly, the model of environmentalconscious modularization is put forward. Secondly, the quantitative DSM is constructed via the featuresof the function, structure, lifetime, material and recycling of components with weighted sum approach.Then an integer encoding GGA is developed combining with the MDL optimization objective to performcomponents clustering. Finally, the continuous and discrete scaling features of modules are analyzed throughthe adjusting scheme of components in the modules. The effectiveness of the proposed method is proventhrough the case study of modularization for shielding hydraulic supports and the comparisons amongmodular results. Comparison with other DSM clustering algorithms and sensitivity analysis proves the efficiencyand robustness of the proposed GGA.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2015年第1期166-174,共9页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金资助项目(51475459)
中央高校基本科研业务费资助项目(2012QNB15)
江苏省高校优势学科建设工程资助项目(PAPD)
关键词
模块化设计
环境意识设计
绿色模块化
成组遗传算法
最小描述长度
modular design
environmental conscious design
green modularization
group genetic algorithm
minimum description length
