Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23554
Title: Shape optimisation using evolutionary techniques in product design
Authors: Sun, J
Frazer, JH
Tang, M 
Keywords: Genetic algorithm
Genotype
Phenotype
Shape optimisation
Shape representation
Issue Date: 2007
Publisher: Pergamon Press
Source: Computers and industrial engineering, 2007, v. 53, no. 2, p. 200-205 How to cite?
Journal: Computers and industrial engineering 
Abstract: 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 algorithms. The early research result and directions for future work are also presented in this paper.
URI: http://hdl.handle.net/10397/23554
ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/j.cie.2007.06.010
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

12
Last Week
0
Last month
0
Citations as of Nov 7, 2017

WEB OF SCIENCETM
Citations

8
Last Week
0
Last month
0
Citations as of Nov 15, 2017

Page view(s)

58
Last Week
1
Last month
Checked on Nov 12, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.