Shape optimisation using evolutionary techniques in product design

被引:24
作者
Sun, Jian [1 ]
Frazer, John H. [1 ]
Tang Mingxi [1 ]
机构
[1] Hong Kong Polytech Univ, Sch Design, DTRC, Kowloon, Hong Kong, Peoples R China
关键词
shape representations; shape optimisation; genetic algorithm; phenotype; genotype;
D O I
10.1016/j.cie.2007.06.010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Shape or surface optimisation in product design is a very essential and time-consuming process, especially at the conceptual design stage. In this paper, we introduce a research project aiming to develop an evolutionary design system capable of evolving product shape designs that are easy to manufacture and satisfy the given geometric constraints. One of the issues in applying evolutionary techniques to conceptual design is how to represent designs in a way in which genetic algorithms can be used to support the process of generating and optimising innovative and imaginative geometric components and parts. This paper examines two stages of using genetic algorithms in product shape design-the representation of shapes or phenotype and how to encode designs in a manner analogous to genes in nature, which can be manipulated by genetic alaorithms. The early research result and directions for future work are also presented in this paper. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:200 / 205
页数:6
相关论文
共 50 条
  • [31] Optimal design of vehicle components using topology design and optimisation
    Yildiz, AR
    Kaya, N
    Öztürk, F
    [J]. INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2004, 34 (04) : 387 - 398
  • [32] Shape optimisation by design of experiments and finite element methods—an application of steel wheels
    Christina Schäfer
    Eckhard Finke
    [J]. Structural and Multidisciplinary Optimization, 2008, 36 : 477 - 491
  • [33] Efficient Search Techniques Using Adaptive Discretization of Design Variables on Real-Coded Evolutionary Computations
    Kondo, Toshiki
    Tatsukawa, Tomoaki
    [J]. GECCO'18: PROCEEDINGS OF THE 2018 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2018, : 697 - 704
  • [34] Using an evolutionary algorithm for catalog design
    Susan Carlson-Skalak
    Michael D. White
    Yong Teng
    [J]. Research in Engineering Design, 1998, 10 : 63 - 83
  • [35] Using an evolutionary algorithm for catalog design
    Carlson-Skalak, S
    White, MD
    Teng, Y
    [J]. RESEARCH IN ENGINEERING DESIGN-THEORY APPLICATIONS AND CONCURRENT ENGINEERING, 1998, 10 (02): : 63 - 83
  • [36] Two-scale shape optimisation based on numerical homogenisation techniques and variational sensitivity analysis
    Kijanski, Wojciech
    Barthold, Franz-Joseph
    [J]. COMPUTATIONAL MECHANICS, 2021, 67 (04) : 1021 - 1040
  • [37] Two-scale shape optimisation based on numerical homogenisation techniques and variational sensitivity analysis
    Wojciech Kijanski
    Franz-Joseph Barthold
    [J]. Computational Mechanics, 2021, 67 : 1021 - 1040
  • [38] An evolutionary design method of product form inspired by spider-webs
    Zhang S.
    Liu S.
    Su J.
    Zhou A.
    Wang S.
    [J]. Computer-Aided Design and Applications, 2022, 19 (01): : 1 - 25
  • [39] Structural shape optimisation using boundary elements and the biological growth method
    C. Wessel
    A. Cisilino
    B. Sensale
    [J]. Structural and Multidisciplinary Optimization, 2004, 28 : 221 - 227
  • [40] Shape optimisation of an AUV with ducted propeller using GA integrated with CFD
    Vasudev, K. L.
    Sharma, R.
    Bhattacharyya, S. K.
    [J]. SHIPS AND OFFSHORE STRUCTURES, 2018, 13 (02) : 194 - 207