Evolving Design For Engineering Structures
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{dubey:2024:CEC,
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author = "Rahul Dubey and Simon Hickinbotham and
Edgar Buchanan and Andrew Colligan and Imelda Briel and Mark Price and
Andy M. Tyrrell",
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title = "Evolving Design For Engineering Structures",
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booktitle = "2024 IEEE Congress on Evolutionary Computation (CEC)",
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year = "2024",
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editor = "Bing Xue",
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address = "Yokohama, Japan",
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month = "30 " # jun # " - 5 " # jul,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Simulation,
Evolutionary computation, Safety, Automobiles,
Biological cells, Accidents, neural networks, ANN,
EvoDevo, GRN, engineering design",
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isbn13 = "979-8-3503-0837-2",
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DOI = "doi:10.1109/CEC60901.2024.10611851",
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abstract = "In recent years, the evolutionary developmental (Evo-
Devo) concept has gained traction in the field of
engineering design. This paper presents a new
biologically inspired approach rooted in Evo- Devo
principles to iteratively develop car chassis designs
based on a specified design brief. The proposed method
draws inspiration from biological cell growth and
differentiation behaviours to generate intricate
engineering designs. Employing evolutionary algorithms,
the paper aims to evolve gene regulatory networks that
govern the growth of a minimal viable design. The
primary goal is to achieve an optimal design capable of
withstanding sudden crash impacts within safety limits.
Comprehensive simulation results demonstrate that the
proposed approach, using genetic algorithms, evolves
gene regulatory networks that generate a spectrum of
viable designs. Furthermore, the best-evolved solution
exhibits generalizability and adaptability across
different simulation parameters.",
-
notes = "also known as \cite{10611851}
WCCI 2024",
- }
Genetic Programming entries for
Rahul Dubey
Simon John Hickinbotham
Edgar Buchanan
Andrew Colligan
Imelda Briel
Mark Price
Andrew M Tyrrell
Citations