Implementing an evolutionary algorithm to optimise fractal patterns and investigate its possible contribution to the design of engineering systems

Akter, Habiba, Young, Rupert, Birch, Phil and Chatwin, Chris (2022) Implementing an evolutionary algorithm to optimise fractal patterns and investigate its possible contribution to the design of engineering systems. EvoStar 2022 conference, Madrid, Spain, 20-22 April 2022. Published in: EVO* 2022 - Proceedings in ArXiv - Late-Breaking Abstracts. 10-13. evostar

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Abstract

This is ongoing interdisciplinary research drawing inspiration from the rapidly growing field of evolutionary developmental biology, i.e., the so-called “Evo-Devo” paradigm. We not only aim to investigate the similarities but importantly, also the differences between the synthesis of a biological organism and an engineering system. A bespoke algorithm will be developed using an Evolutionary Algorithm to generate fractal patterns observed in nature. The success of this method will allow us to investigate its possible usage in designing an engineering system.

Item Type: Conference Proceedings
Schools and Departments: School of Engineering and Informatics > Engineering and Design
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SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 04 Apr 2022 10:39
Last Modified: 17 Aug 2022 15:06
URI: http://sro.sussex.ac.uk/id/eprint/105140

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