Parallel evolutionary optimization of structures
Abstract
By introducing a variable coding technique, a parallel optimization method based on a combination of GAs and ESs is presented. The advantages of both GAs and ESs, like coding of genetic information and adaptation of optimization parameters, are enhanced by this new method.
References
[1] J. Cai Discrete Optimization of Structures under Dynamic Loading by Using Sequential and Parallel Evolution Strategies (in German). Doctoral Dissertation. Department of Civil Engineering, University of Essen, Germany, 1995.
[2] K.A. Dejong. Analysis of the Behaviour of a Class of Genetic Adaptive Systems. Ph. D. Thesis, University of Michigan, Ann Arbor, MI. 1975
[3] F. Hoffmeister, T. Baeck. Genetic Algorithms and Evolution Strategies: Similarities and Differences. Technical Report No. SYS-1/ 92, University of Dortmund, 1992.
[4] J. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, Mich., 1975.
[5] U. Kirsch. Structural Optimization - Fundamentals and Applications. Springer-Verlag, Berlin, 1993.
[2] K.A. Dejong. Analysis of the Behaviour of a Class of Genetic Adaptive Systems. Ph. D. Thesis, University of Michigan, Ann Arbor, MI. 1975
[3] F. Hoffmeister, T. Baeck. Genetic Algorithms and Evolution Strategies: Similarities and Differences. Technical Report No. SYS-1/ 92, University of Dortmund, 1992.
[4] J. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, Mich., 1975.
[5] U. Kirsch. Structural Optimization - Fundamentals and Applications. Springer-Verlag, Berlin, 1993.
Published
2023-03-30
Issue
pp. 735-742
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Thierauf, G., & Cai, J. (2023). Parallel evolutionary optimization of structures. Computer Assisted Methods in Engineering and Science, 7(4), 735-742. https://cames3.ippt.pan.pl/index.php/cames/article/view/1226
