Gene expression-based collaborative designer selection and optimization

被引:0
|
作者
Wang, Weili [1 ]
Yang, Yu [1 ]
Liang, Xuedong [1 ]
Wang, Jing [1 ]
机构
[1] Chongqing Univ, Coll Mech Engn, Chongqing 630044, Peoples R China
关键词
collaborative design; designer selection; genetic algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aiming at the problem of selecting designers ignoring the consideration of collaborative efficiency during collaborative design process, a modeling method of product innovation designer's selection is proposed, based on considering the importance of collaborative efficiency. In this paper, firstly, the gene expression about product collaborative designer selection is given. Secondly, two matrixes, which are designer-designer collaborative efficiency matrix and designer-task adaptation matrix, are constructed to form designer selection model. Thirdly, the calculation process of selecting optimal product designers is introduced with an improved genetic algorithm. Finally, an engineering example is given to prove that the proposed model is able to realize optimal selection of designers. At the same time, a good calculative efficiency is obtained with this improved genetic algorithm.
引用
收藏
页码:212 / 216
页数:5
相关论文
共 50 条
  • [31] Relation of gene expression-based tumor subclasses to clinical phenotypes
    T Sørlie
    CM Perou
    PE Lønning
    PO Brown
    D Botstein
    A-L Børresen-Dale
    Breast Cancer Research, 2 (Suppl 1)
  • [32] Optimization of gene expression by natural selection
    Bedford, Trevor
    Hartl, Daniel L.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (04) : 1133 - 1138
  • [33] Expression-Based Diagnosis, Treatment Selection, and Drug Development for Breast Cancer
    Ye, Qing
    Wang, Jiajia
    Ducatman, Barbara
    Raese, Rebecca A.
    Rogers, Jillian L.
    Wan, Ying-Wooi
    Dong, Chunlin
    Padden, Lindsay
    Pugacheva, Elena N.
    Qian, Yong
    Guo, Nancy Lan
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (13)
  • [34] Judging the quality of gene expression-based clustering methods using gene annotation
    Gibbons, FD
    Roth, FP
    GENOME RESEARCH, 2002, 12 (10) : 1574 - 1581
  • [35] A whole blood gene expression-based signature for smoking status
    Philip Beineke
    Karen Fitch
    Heng Tao
    Michael R Elashoff
    Steven Rosenberg
    William E Kraus
    James A Wingrove
    BMC Medical Genomics, 5
  • [36] iSyTE 2.0: a database for expression-based gene discovery in the eye
    Kakrana, Atul
    Yang, Andrian
    Anand, Deepti
    Djordjevic, Djordje
    Ramachandruni, Deepti
    Singh, Abhyudai
    Huang, Hongzhan
    Ho, Joshua W. K.
    Lachke, Salil A.
    NUCLEIC ACIDS RESEARCH, 2018, 46 (D1) : D875 - D885
  • [37] Gene Expression-Based Biomarkers for Anopheles gambiae Age Grading
    Wang, Mei-Hui
    Marinotti, Osvaldo
    Zhong, Daibin
    James, Anthony A.
    Walker, Edward
    Guda, Tom
    Kweka, Eliningaya J.
    Githure, John
    Yan, Guiyun
    PLOS ONE, 2013, 8 (07):
  • [38] A gene expression-based immune signature for lung adenocarcinoma prognosis
    Wang, Lijuan
    Luo, Xizhi
    Cheng, Chao
    Amos, Christopher I.
    Cai, Guoshuai
    Xiao, Feifei
    CANCER IMMUNOLOGY IMMUNOTHERAPY, 2020, 69 (09) : 1881 - 1890
  • [39] Molecular and gene expression-based predictors of response to preoperative chemotherapy
    Pusztai, L.
    BREAST CANCER RESEARCH, 2007, 9 (01)
  • [40] A whole blood gene expression-based signature for smoking status
    Beineke, Philip
    Fitch, Karen
    Tao, Heng
    Elashoff, Michael R.
    Rosenberg, Steven
    Kraus, William E.
    Wingrove, James A.
    BMC MEDICAL GENOMICS, 2012, 5