Design Gene Representations for Emergent Innovative Design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Looking to nature for inspiration, this work presents an alternative bottom-up engineering design system, which allows unpredicted-but-valuable designs to emerge with few constraints. A set of “design genes” have been developed which trigger and control the growth of a design within a CAD system through mechanisms such as copying and stretching. The single gene is structured as a one-dimensional array representation, which includes 6 elements: the attribute, the attribute’s value or type, its active status, start and stop conditions, and dominance. A set of genes grouped together forms a “design seed” which contains all the necessary information to create the design. The design then emerges from the actions of the genes, which do not know anything about the final shape or form of the design. The growth is managed within a design environment which provides the external triggers and conditions needed to activate the genes. Different designs can emerge from the same seed in response to different environmental conditions based on their influence on the elements in the genes. This paper will outline the design gene representations and a simple-but-powerful growth strategy for the emergence of innovative designs in engineering. Numerical examples are tested to demonstrate the effectiveness of the system.
LanguageEnglish
Title of host publication17th International Conference on Manufacturing Research ICMR 2019
PublisherIOS Press
DOIs
Publication statusEarly online date - 20 Sep 2019

Publication series

NameAdvances in Transdisciplinary Engineering
PublisherIOS Press
Volume9
ISSN (Electronic)2352-7528

Fingerprint

Genes
Seed
Copying
Stretching
Computer aided design

Cite this

Zhang, W., Price, M., Robinson, T., Nolan, D., Nikolopoulos, D., Barbhuiya, S., & Kyle, S. (2019). Design Gene Representations for Emergent Innovative Design. In 17th International Conference on Manufacturing Research ICMR 2019 (Advances in Transdisciplinary Engineering; Vol. 9). IOS Press. https://doi.org/10.3233/ATDE190068
Zhang, Wei ; Price, Mark ; Robinson, Trevor ; Nolan, Declan ; Nikolopoulos, Dimitrios ; Barbhuiya, Sakil ; Kyle, Stephen. / Design Gene Representations for Emergent Innovative Design. 17th International Conference on Manufacturing Research ICMR 2019. IOS Press, 2019. (Advances in Transdisciplinary Engineering).
@inproceedings{c02006bc76cf43d9abe8d8e7261175a9,
title = "Design Gene Representations for Emergent Innovative Design",
abstract = "Looking to nature for inspiration, this work presents an alternative bottom-up engineering design system, which allows unpredicted-but-valuable designs to emerge with few constraints. A set of “design genes” have been developed which trigger and control the growth of a design within a CAD system through mechanisms such as copying and stretching. The single gene is structured as a one-dimensional array representation, which includes 6 elements: the attribute, the attribute’s value or type, its active status, start and stop conditions, and dominance. A set of genes grouped together forms a “design seed” which contains all the necessary information to create the design. The design then emerges from the actions of the genes, which do not know anything about the final shape or form of the design. The growth is managed within a design environment which provides the external triggers and conditions needed to activate the genes. Different designs can emerge from the same seed in response to different environmental conditions based on their influence on the elements in the genes. This paper will outline the design gene representations and a simple-but-powerful growth strategy for the emergence of innovative designs in engineering. Numerical examples are tested to demonstrate the effectiveness of the system.",
author = "Wei Zhang and Mark Price and Trevor Robinson and Declan Nolan and Dimitrios Nikolopoulos and Sakil Barbhuiya and Stephen Kyle",
year = "2019",
month = "9",
day = "20",
doi = "10.3233/ATDE190068",
language = "English",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press",
booktitle = "17th International Conference on Manufacturing Research ICMR 2019",

}

Zhang, W, Price, M, Robinson, T, Nolan, D, Nikolopoulos, D, Barbhuiya, S & Kyle, S 2019, Design Gene Representations for Emergent Innovative Design. in 17th International Conference on Manufacturing Research ICMR 2019. Advances in Transdisciplinary Engineering, vol. 9, IOS Press. https://doi.org/10.3233/ATDE190068

Design Gene Representations for Emergent Innovative Design. / Zhang, Wei; Price, Mark; Robinson, Trevor; Nolan, Declan; Nikolopoulos, Dimitrios; Barbhuiya, Sakil; Kyle, Stephen.

17th International Conference on Manufacturing Research ICMR 2019. IOS Press, 2019. (Advances in Transdisciplinary Engineering; Vol. 9).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Design Gene Representations for Emergent Innovative Design

AU - Zhang, Wei

AU - Price, Mark

AU - Robinson, Trevor

AU - Nolan, Declan

AU - Nikolopoulos, Dimitrios

AU - Barbhuiya, Sakil

AU - Kyle, Stephen

PY - 2019/9/20

Y1 - 2019/9/20

N2 - Looking to nature for inspiration, this work presents an alternative bottom-up engineering design system, which allows unpredicted-but-valuable designs to emerge with few constraints. A set of “design genes” have been developed which trigger and control the growth of a design within a CAD system through mechanisms such as copying and stretching. The single gene is structured as a one-dimensional array representation, which includes 6 elements: the attribute, the attribute’s value or type, its active status, start and stop conditions, and dominance. A set of genes grouped together forms a “design seed” which contains all the necessary information to create the design. The design then emerges from the actions of the genes, which do not know anything about the final shape or form of the design. The growth is managed within a design environment which provides the external triggers and conditions needed to activate the genes. Different designs can emerge from the same seed in response to different environmental conditions based on their influence on the elements in the genes. This paper will outline the design gene representations and a simple-but-powerful growth strategy for the emergence of innovative designs in engineering. Numerical examples are tested to demonstrate the effectiveness of the system.

AB - Looking to nature for inspiration, this work presents an alternative bottom-up engineering design system, which allows unpredicted-but-valuable designs to emerge with few constraints. A set of “design genes” have been developed which trigger and control the growth of a design within a CAD system through mechanisms such as copying and stretching. The single gene is structured as a one-dimensional array representation, which includes 6 elements: the attribute, the attribute’s value or type, its active status, start and stop conditions, and dominance. A set of genes grouped together forms a “design seed” which contains all the necessary information to create the design. The design then emerges from the actions of the genes, which do not know anything about the final shape or form of the design. The growth is managed within a design environment which provides the external triggers and conditions needed to activate the genes. Different designs can emerge from the same seed in response to different environmental conditions based on their influence on the elements in the genes. This paper will outline the design gene representations and a simple-but-powerful growth strategy for the emergence of innovative designs in engineering. Numerical examples are tested to demonstrate the effectiveness of the system.

U2 - 10.3233/ATDE190068

DO - 10.3233/ATDE190068

M3 - Conference contribution

T3 - Advances in Transdisciplinary Engineering

BT - 17th International Conference on Manufacturing Research ICMR 2019

PB - IOS Press

ER -

Zhang W, Price M, Robinson T, Nolan D, Nikolopoulos D, Barbhuiya S et al. Design Gene Representations for Emergent Innovative Design. In 17th International Conference on Manufacturing Research ICMR 2019. IOS Press. 2019. (Advances in Transdisciplinary Engineering). https://doi.org/10.3233/ATDE190068