计算机辅助设计与图形学学报
計算機輔助設計與圖形學學報
계산궤보조설계여도형학학보
JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS
2015年
1期
166-174
,共9页
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
模塊化設計%環境意識設計%綠色模塊化%成組遺傳算法%最小描述長度
모괴화설계%배경의식설계%록색모괴화%성조유전산법%최소묘술장도
modular design%environmental conscious design%green modularization%group genetic algorithm%minimum description length
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。
針對傳統模塊化設計趨嚮于處理產品的功能和結構,易導緻產品模塊化方案環境因素攷慮不足的問題,基于設計結構矩陣(DSM)、成組遺傳算法(GGA)和最小描述長度(MDL)進行環境意識產品模塊化體繫結構設計優化。首先提齣瞭環境意識模塊化設計模型;然後從組件的功能、結構、壽命、材料和迴收屬性建模加權的數值化 DSM;再設計整數編碼 GGA,以 MDL 為優化目標進行組件聚類;最後依據組件調節方式分析各模塊的連續和離散調節屬性。通過掩護式液壓支架的模塊規劃實例和設計方案對比,證明瞭文中設計方法的有效性;與其他DSM聚類算法的對比和敏感度分析結果,驗證瞭所提齣GGA的效率和魯棒特徵。
침대전통모괴화설계추향우처리산품적공능화결구,역도치산품모괴화방안배경인소고필불족적문제,기우설계결구구진(DSM)、성조유전산법(GGA)화최소묘술장도(MDL)진행배경의식산품모괴화체계결구설계우화。수선제출료배경의식모괴화설계모형;연후종조건적공능、결구、수명、재료화회수속성건모가권적수치화 DSM;재설계정수편마 GGA,이 MDL 위우화목표진행조건취류;최후의거조건조절방식분석각모괴적련속화리산조절속성。통과엄호식액압지가적모괴규화실례화설계방안대비,증명료문중설계방법적유효성;여기타DSM취류산법적대비화민감도분석결과,험증료소제출GGA적효솔화로봉특정。
Conventional modular design methods tend to deal with function and structure of products, which leading to insufficient consideration of environmental factors in the modularization scheme. An environ-mental conscious modular design optimization method based on design structure matrix (DSM), group ge-netic algorithm (GGA) and minimum description length (MDL) is proposed. Firstly, the model of environ-mental conscious modularization is put forward. Secondly, the quantitative DSM is constructed via the fea-tures of 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 perform components clustering. Finally, the continuous and discrete scaling features of modules are analyzed through the adjusting scheme of components in the modules. The effectiveness of the proposed method is proven through the case study of modularization for shielding hydraulic supports and the comparisons among modular results. Comparison with other DSM clustering algorithms and sensitivity analysis proves the effi-ciency and robustness of the proposed GGA.