Constraint-handling techniques for generative product design systems in the mass customization context
Nordin, Axel LU ; Motte, Damien LU
; Hopf, Andreas
LU
; Bjärnemo, Robert
LU
and Eckhardt, Claus-Christian
LU
(2013)
In Artificial Intelligence for Engineering Design, Analysis and Manufacturing
27(4).
p.387-399
- Abstract
- Generative product design systems used in the context of mass customization are required to generate diverse solutions quickly and reliably without necessitating modification or tuning during use. When such systems are employed to allow for the mass customization of product form, they must be able to handle mass production and engineering constraints that can be time-consuming to evaluate and difficult to fulfill. These issues are related to how the constraints are handled in the generative design system. This article evaluates two promising sequential constraint-handling techniques and the often used weighted sum technique with regard to convergence time, convergence rate, and diversity of the design solutions. The application used for... (More)
- Generative product design systems used in the context of mass customization are required to generate diverse solutions quickly and reliably without necessitating modification or tuning during use. When such systems are employed to allow for the mass customization of product form, they must be able to handle mass production and engineering constraints that can be time-consuming to evaluate and difficult to fulfill. These issues are related to how the constraints are handled in the generative design system. This article evaluates two promising sequential constraint-handling techniques and the often used weighted sum technique with regard to convergence time, convergence rate, and diversity of the design solutions. The application used for this purpose was a design system aimed at generating a table with an advanced form: a Voronoi diagram based structure. The design problem was constrained in terms of production as well as stability, requiring a timeconsuming finite element evaluation. Regarding convergence time and rate, one of the sequential constraint-handling techniques performed significantly better than the weighted sum technique. Nevertheless, the weighted sum technique presented respectable results and therefore remains a relevant technique. Regarding diversity, none of the techniques could generate diverse solutions in a single search run. In contrast, the solutions from different searches were always diverse. Solution diversity is thus gained at the cost of more runs, but no evaluation of the diversity of the solutions is needed. This result is important, because a diversity evaluation function would otherwise have to be developed for every new type of design. Efficient handling of complex constraints is an important step toward mass customization of nontrivial product forms. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4113731
- author
- Nordin, Axel
LU
; Motte, Damien
LU
; Hopf, Andreas
LU
; Bjärnemo, Robert
LU
and Eckhardt, Claus-Christian
LU
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Genetic Algorithms, Generative Design, Evolutionary Computing, Complex Morphologies, Constraint-Handling Techniques, Renaissance 2.0, Industrial design, Industridesign, Machine design, Maskinkonstruktion
- in
- Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- volume
- 27
- issue
- 4
- pages
- 13 pages
- publisher
- Cambridge University Press
- external identifiers
-
- wos:000325901800005
- scopus:84886433502
- ISSN
- 1469-1760
- DOI
- 10.1017/S0890060413000383
- language
- English
- LU publication?
- yes
- id
- 1113d1dc-60fe-410b-8102-c4a3ae5b3512 (old id 4113731)
- date added to LUP
- 2016-04-01 10:19:37
- date last changed
- 2023-01-02 03:30:52
@article{1113d1dc-60fe-410b-8102-c4a3ae5b3512,
abstract = {{Generative product design systems used in the context of mass customization are required to generate diverse solutions quickly and reliably without necessitating modification or tuning during use. When such systems are employed to allow for the mass customization of product form, they must be able to handle mass production and engineering constraints that can be time-consuming to evaluate and difficult to fulfill. These issues are related to how the constraints are handled in the generative design system. This article evaluates two promising sequential constraint-handling techniques and the often used weighted sum technique with regard to convergence time, convergence rate, and diversity of the design solutions. The application used for this purpose was a design system aimed at generating a table with an advanced form: a Voronoi diagram based structure. The design problem was constrained in terms of production as well as stability, requiring a timeconsuming finite element evaluation. Regarding convergence time and rate, one of the sequential constraint-handling techniques performed significantly better than the weighted sum technique. Nevertheless, the weighted sum technique presented respectable results and therefore remains a relevant technique. Regarding diversity, none of the techniques could generate diverse solutions in a single search run. In contrast, the solutions from different searches were always diverse. Solution diversity is thus gained at the cost of more runs, but no evaluation of the diversity of the solutions is needed. This result is important, because a diversity evaluation function would otherwise have to be developed for every new type of design. Efficient handling of complex constraints is an important step toward mass customization of nontrivial product forms.}},
author = {{Nordin, Axel and Motte, Damien and Hopf, Andreas and Bjärnemo, Robert and Eckhardt, Claus-Christian}},
issn = {{1469-1760}},
keywords = {{Genetic Algorithms; Generative Design; Evolutionary Computing; Complex Morphologies; Constraint-Handling Techniques; Renaissance 2.0; Industrial design; Industridesign; Machine design; Maskinkonstruktion}},
language = {{eng}},
number = {{4}},
pages = {{387--399}},
publisher = {{Cambridge University Press}},
series = {{Artificial Intelligence for Engineering Design, Analysis and Manufacturing}},
title = {{Constraint-handling techniques for generative product design systems in the mass customization context}},
url = {{https://lup.lub.lu.se/search/files/1748019/4113736.pdf}},
doi = {{10.1017/S0890060413000383}},
volume = {{27}},
year = {{2013}},
}