Methods of obtaining, verifying, and reusing optimal biological solutions

The practice of using analogies to biological systems for deriving innovative solutions to difficult engineering problems is called biologically inspired design. Although some procedures and methodologies for biologically inspired design have been presented in the literature, they did not specifical...

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Main Authors: Bibo Yang, Weiwei Yan
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2017.1306951
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spelling doaj-f143dd68504a45929d3c23bd0ff89e772021-03-02T14:23:44ZengTaylor & Francis GroupCogent Engineering2331-19162017-01-014110.1080/23311916.2017.13069511306951Methods of obtaining, verifying, and reusing optimal biological solutionsBibo Yang0Weiwei Yan1The Hong Kong Polytechnic UniversityCollege of Metrology and Measurement Engineering, China Jiliang UniversityThe practice of using analogies to biological systems for deriving innovative solutions to difficult engineering problems is called biologically inspired design. Although some procedures and methodologies for biologically inspired design have been presented in the literature, they did not specifically support obtaining and applying optimal solutions in living organisms. This article fills this research gap by presenting two methods of obtaining, verifying, and reusing biological optimal solutions (refer to biological forms, shapes, and structures) to solve engineering optimisation problems. The first method develops an analytical model, formulates an optimisation problem explicitly, and then verifies the optimal solution theoretically. An application example of this method is provided. The second method is based on experiments, and uses experimental design and statistical analysis to verify the optimal solution. This method is applied to the design of the flapping Micro Air Vehicles, which reuse an optimal biological solution (the shape of dragonfly wing). The procedures, requirements and advantages of both methods are discussed. We show that by using the two methods, scientists and engineers can efficiently obtain, verify, and reuse the optimal solutions from biological organisms.http://dx.doi.org/10.1080/23311916.2017.1306951biologically inspired designoptimisation problemoptimal solutionproduct designdesign method
collection DOAJ
language English
format Article
sources DOAJ
author Bibo Yang
Weiwei Yan
spellingShingle Bibo Yang
Weiwei Yan
Methods of obtaining, verifying, and reusing optimal biological solutions
Cogent Engineering
biologically inspired design
optimisation problem
optimal solution
product design
design method
author_facet Bibo Yang
Weiwei Yan
author_sort Bibo Yang
title Methods of obtaining, verifying, and reusing optimal biological solutions
title_short Methods of obtaining, verifying, and reusing optimal biological solutions
title_full Methods of obtaining, verifying, and reusing optimal biological solutions
title_fullStr Methods of obtaining, verifying, and reusing optimal biological solutions
title_full_unstemmed Methods of obtaining, verifying, and reusing optimal biological solutions
title_sort methods of obtaining, verifying, and reusing optimal biological solutions
publisher Taylor & Francis Group
series Cogent Engineering
issn 2331-1916
publishDate 2017-01-01
description The practice of using analogies to biological systems for deriving innovative solutions to difficult engineering problems is called biologically inspired design. Although some procedures and methodologies for biologically inspired design have been presented in the literature, they did not specifically support obtaining and applying optimal solutions in living organisms. This article fills this research gap by presenting two methods of obtaining, verifying, and reusing biological optimal solutions (refer to biological forms, shapes, and structures) to solve engineering optimisation problems. The first method develops an analytical model, formulates an optimisation problem explicitly, and then verifies the optimal solution theoretically. An application example of this method is provided. The second method is based on experiments, and uses experimental design and statistical analysis to verify the optimal solution. This method is applied to the design of the flapping Micro Air Vehicles, which reuse an optimal biological solution (the shape of dragonfly wing). The procedures, requirements and advantages of both methods are discussed. We show that by using the two methods, scientists and engineers can efficiently obtain, verify, and reuse the optimal solutions from biological organisms.
topic biologically inspired design
optimisation problem
optimal solution
product design
design method
url http://dx.doi.org/10.1080/23311916.2017.1306951
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AT weiweiyan methodsofobtainingverifyingandreusingoptimalbiologicalsolutions
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