2D shape optimization using genetic algorithm

  • Eisuke Kita Nagoya University

Abstract

This paper presents an optimal design method of continuum structures by genetic algorithm. Profiles of the objects under consideration arc represcnted by the spline functions and then, the chromosomes for the profiles are defined by the coordinates of the control points of the functions and the material code of the structures. The profiles and the material code are optimized by the genetic operations in order to determine the object satisfying the design objectives. The minimum weight design of the plate is considered as a typical example. The present method is applied to the problem in which the profile and the material of the objects are unknown.

Keywords

Genetic Algorithms(GAs), Boundary Element Methods(BEMs), Shape Optimization, Material Selection, Rksenfeld Spline Functions,

References

[1] D. E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, 1 edition, 1989.
[2] L. Davis. Handbook of Genetic Algorithms. Van Nostrand Reinhold, 1 edition, 1991.
[3] E. Sandgren and E. Jensen. Automotive structural design employing a genetic optimization algoritlun. In: SAE Technical Paper No.920772 (Proc. SAE Int. Cong. Exp., Detroit. MI, 1992), 1992.
[4] S. Nagendra, R. T. Haftka, and Z. Gurdal. Design of a blade stiffened composite panel by a genetic algorithm. In: Proc. 34th AIAA/ ASME/ ASCE/ AHS/ ASC Slru,clures, Slru,cluml Dynamics and Materials Conference, Lajolla, CA, 1993, 4: 2418- 2436, 1993.
[5] C.-Y. Lin and P. Hajela. Genetic search strategies in large scale optimization. In: Proc. 34th AIAA/ ASME/ ASCE/ AHS/ ASC Slructures, Structural Dynamics and Materials Conference, Dallas, TX, 1992, 4: 2437- 2447, 1993.
Published
May 31, 2023
How to Cite
KITA, Eisuke. 2D shape optimization using genetic algorithm. Computer Assisted Methods in Engineering and Science, [S.l.], v. 5, n. 3, p. 311-321, may 2023. ISSN 2956-5839. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/1347>. Date accessed: 02 may 2024.
Section
Articles

Most read articles by the same author(s)