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An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm
Joint Authors
Koumar, Aushim
Filomeno Coelho, Rajan
De Temmerman, Niels
Tysmans, T.
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
We developed a fully automated multiobjective optimisation framework using genetic algorithms to generate a range of optimal barrel vault scissor structures.
Compared to other optimisation methods, genetic algorithms are more robust and efficient when dealing with multiobjective optimisation problems and provide a better view of the search space while reducing the chance to be stuck in a local minimum.
The novelty of this work is the application and validation (using metrics) of genetic algorithms for the shape and size optimisation of scissor structures, which has not been done so far for two objectives.
We tested the feasibility and capacity of the methodology by optimising a 6 m span barrel vault to weight and compactness and by obtaining optimal solutions in an efficient way using NSGA-II.
This paper presents the framework and the results of the case study.
The in-depth analysis of the influence of the optimisation variables on the results yields new insights which can help in making choices with regard to the design variables, the constraints, and the number of individuals and generations in order to obtain efficiently a trade-off of optimal solutions.
American Psychological Association (APA)
Koumar, Aushim& Tysmans, T.& Filomeno Coelho, Rajan& De Temmerman, Niels. 2017. An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm. Applied Computational Intelligence and Soft Computing،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1121452
Modern Language Association (MLA)
Koumar, Aushim…[et al.]. An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm. Applied Computational Intelligence and Soft Computing No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1121452
American Medical Association (AMA)
Koumar, Aushim& Tysmans, T.& Filomeno Coelho, Rajan& De Temmerman, Niels. An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm. Applied Computational Intelligence and Soft Computing. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1121452
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121452