基于DNA计算模型的概念创新设计
CSTR:
作者单位:

同济大学,同济大学,同济大学,西安武警工程大学军事

中图分类号:

TP11

基金项目:

国家自然科学基金项目(71090404, 71072026)

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [24]
  • |
  • 相似文献 [20]
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    本文采用DNA计算方法解决了概念模型筛选问题。首先,引入骨骼结构表示概念模型,构建了“头部表示+偏转角度 骨骼弧度”骨骼结构及设计了偏转角度和骨骼弧度DNA分子编码方式。其次,在提出了DNA计算的算法流程后用计算机模拟实验的方法验证了算法流程的可行性。然后,依据提取出的DNA分子片段长度并按照K-means方法把每种组件划分为了五类。再次,采用信息熵计算方法,计算出了每一个评价参数权重之后,建立了概念模型的评价函数。最后,实验结果表明:合理的评价函数可以描述出概念模型的结构特点,进而根据其评价函数可以快速有效地找到符合需求的设计方案。此外,由于相似的概念模型其评分很接近,可以通过比较相近评分的概念模型提取出共有的设计组件,从而为后续设计开发提供素材。

    Abstract:

    In this paper, conceptual model’s screening problems are solved via using DNA computing method. Firstly, it introduces skeleton structure to represent conceptual model, which is constructed in combination of head, deflection angle and skeleton curve. And then it proposes the deflection angle and skeleton curve DNA encoding method. Secondly, it designs the DNA computing algorithm process, whose feasibility is verified by the computer simulation. The DNA fragments are divided into 5 categories according to their length using K-means method. Thirdly, the evaluation parameter weights are determined by using information entropy calculating method and the evaluation function of conceptual model is established. Finally, the experimental results show that a reasonable evaluation function can basically describe the structural features of conceptual model and it could help designers find solutions effectively and efficiently. Furthermore, some common components can be extracted by comparing their scores due to the conceptual models, because similar scores of models have a high similarly and thus common components can provide raw materials for further design in the future.

    参考文献
    [1].Faerber S J, Carbon C C. Jump on the innovator’s train: cognitive principles for creating appreciation in innovative product designs[J]. Research in Engineering Design,2013,24(3): 313-319.
    [2].Komoto H, Tomiyama T. A framework for computer aided conceptual design and its application to system architecting of mechatronics products[J]. Computer-Aided Design, 2012, 44(10):931-946.
    [3].Koutsabasis P, Vosinakis S, Malisova K, et al. On the value of Virtual Worlds for collaborative design. Design Studies, 2012, 33(4): 357-390.
    [4].Goel A K, Vattam S, Wiltgen B, et al. Cognitive, collaborative, conceptual and creative-four characteristics of the next generation of knowledge-based CAD systems: a studying biologically inspired design. Computer-Aided Design, 2012, 40(10):879-900.
    [5] Kaner M, Karni R. Engineering design of a service system: an empirical study. Information Knowledge Systems Management, 2007, 6(3):235-263.
    [6].Tseng K C, El-Ganzoury W. An intelligent system based on concurrent engineering for innovative product design at the conceptual design stage. The International Journal of Advanced Manufacturing Technology, 2012, 63(5-8): 421-447.
    [7].Kremer G O, Chiu M C, Lin C Y, et al. Application of axiomatic design, TRIZ, and mixed integer programming to develop innovative designs: a locomotive ballast arrangement case study. The International Journal of Advanced Manufacturing Technology, 2012, 61(5-8): 827-842.
    [8].WU Hai-long, LIU Xi-yu, XIANG Lai-sheng. Skeleton structure of conception innovative design based on genetic algorithm. Journal of Computer Applications, 2011, 31(04): 1155-1158 ( in Chinese)(吴海龙, 刘希玉, 向来生. 基于遗传算法的骨骼结构模型概念创新设计,计算机应用, 2011, 31(4): 1155-1158.)
    [9].Zhang Kai, Liu Xi-yu.Application of DNA Computation in Product Creative Design.Computer Engineering2011,37(22):219-221. (in Chinese)(张凯, 刘希玉. DNA 计算在产品创新设计中的应用.计算机工程, 2011, 37(22):219-221)
    [10].Adleman L M. Molecular computation of solutions to combinatorial problems. Science-AAAS-Weekly Paper Edition, 1994, 266(5187): 1021-1023.
    [11].Lipton R J. DNA solution of hard computational problems. Science, 1995, 268(5210): 542-545.
    [12].Jiao H, Zhong Y, Zhang L. Artificial DNA computing-based spectral encoding and matching algorithm for hyperspectral remote sensing data. Geoscience and Remote Sensing, IEEE Transactions on, 2012, 50(10): 4085-4104.
    [13].Chaves-González J M, Vega-Rodríguez M A. DNA strand generation for DNA computing by using a multi-objective differential evolution algorithm. Biosystems, 2014, 116: 49-64.
    [14].Liu X, Yang X, Li S, et al. Solving the minimum bisection problem using a biologically inspired computational model. Theoretical Computer Science, 2010, 411(6): 888-896.
    [15].Wang Z, Huang D, Meng H, et al. A new fast algorithm for solving the minimum spanning tree problem based on DNA molecules computation. Biosystems, 2013, 114(1): 1-7.
    [16].Xu J, Qiang X, Yang Y, et al.An unenumerative DNA computing model for vertex coloring problem.NanoBioscience, IEEE Transactions on, 2011, 10(2): 94-98.
    [17].Chang W. Fast parallel DNA-based algorithms for molecular computation: the set-partition problem. IEEE Transactions on Nanobioscience, 2007, 6(4): 346.
    [18].Razzazi M, Roayaei M. Using sticker model of DNA computing to solve domatic partition, kernel and induced path problems. Information Sciences, 2011, 181(17): 3581-3600.
    [19].Yin Z, Cui J, Yang Y, et al. DNA computing for a dominating set problem based on sticker models. Kybernetes, 2012, 41(9): 1343-1350.
    [20].Sakamoto K, Gouzu H, Komiya K, et al. Molecular computation by DNA hairpin formation. Science, 2000, 288(5469): 1223-1226.
    [21].Zhang H, Liu X. A CLIQUE algorithm using DNA computing techniques based on closed-circle DNA sequences. Biosystems, 2011, 105(1): 73-82.
    [22].Liu X, Xue J. Spatial Cluster Analysis by the Bin-Packing Problem and DNA Computing Technique. Discrete Dynamics in Nature and Society, 2013, 2013.
    [23].ZhengZiran. Research on Computer-Aided Modeling Technique Based on Intelligent Computing. Shandong: Shandong Normal University, 2010 (in Chinese)(郑自然.基于智能计算的计算机辅助建模方法研究[D].山东:山东师范大学管理与经济学院:2010.)
    [24].Liu Hong, Liu Xi-yu. An Evolutionary Computing Approach for Supporting Creative Configuration Design.JOURNAL OF COMPUT ER-AIDED DESIGN & COMPUTER GRAPHICS, 2006,18(1): 101-107. (in Chinese)(刘弘, 刘希玉. 支持外观造型创新设计的进化计算方法. 计算机辅助设计与图形学学报, 2006, 18(1): 101-107.)
    引证文献
引用本文

吴海龙,苏强,谭丽娜,贾赛.基于DNA计算模型的概念创新设计[J].同济大学学报(自然科学版),2015,43(9):1400~1405

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2014-08-01
  • 最后修改日期:2015-06-17
  • 录用日期:2015-05-07
  • 在线发布日期: 2015-10-26
文章二维码