0
RESEARCH PAPERS

Design Concept Generation: A Hierarchical Coevolutionary Approach

[+] Author and Article Information
Yan Jin

Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453yjin@usc.edu

Wei Li

Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453

J. Mech. Des 129(10), 1012-1022 (Dec 16, 2006) (11 pages) doi:10.1115/1.2757190 History: Received September 06, 2006; Revised December 16, 2006

As design problems become more complex and design lead time more pressing, designers need effective support tools to expand their design space exploration. In this paper, a hierarchical coevolutionary approach is proposed to support designers by automatically generating design concepts based on the designers’ inputs. The approach adopts a zigzag design process in which function structures and their corresponding solution principles coevolve in parallel across different levels of an abstraction hierarchy. A grammar-based approach is applied to decompose higher-level functions and generate an initial population of function structures. From this initial population, a coevolutionary algorithm is devised to coevolve more function structures and their corresponding solution principles. A case study of designing a mechanical personal transporter is presented to demonstrate the effectiveness and features of the proposed approach.

FIGURES IN THIS ARTICLE
<>
Copyright © 2007 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Figure 1

Components of HiCED

Grahic Jump Location
Figure 2

The design process of HiCED

Grahic Jump Location
Figure 3

Topological relationships in function

Grahic Jump Location
Figure 4

A chromosome model of function structure

Grahic Jump Location
Figure 5

A chromosome model of means for means combination selection

Grahic Jump Location
Figure 6

Examples of convergence curves for coevolutionary design

Grahic Jump Location
Figure 7

Experiment design

Grahic Jump Location
Figure 8

Two alternative function structures at level 3

Grahic Jump Location
Figure 9

Function structure regarding weight and cost requirements

Grahic Jump Location
Figure 10

Solutions with requirements of low cost and lightweight

Grahic Jump Location
Figure 11

Function structure for long travel range requirement

Grahic Jump Location
Figure 12

Means selection with long travel range requirement

Grahic Jump Location
Figure 13

An effective distribution of fitness function weight

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In