Application of Memetic Algorithms in Multi-Criteria Structural Optimization
Application of Memetic Algorithms in Multi-Criteria Structural Optimization
Author(s): Peter Pechac, Milan Saga, Peter Weiss, Tomasz Domański, Marcin KubiakSubject(s): Methodology and research technology
Published by: Žilinská univerzita v Žilině
Keywords: memetic algorithm; genetic algorithm; structural optimization; multi-criteria optimization; modal analysis; buckling analysis; static analysis;
Summary/Abstract: The goal of this paper is to present new innovative algorithms for discrete structural optimization of problems involving multi-criteria objective function, which contains stress, displacement and frequency constraints. The algorithm is tested on a shell finite element structure, whose optimization variables are geometrical parameters and shell thicknesses. Performance of memetic algorithm will be compared with genetic algorithm.
Journal: Komunikácie - vedecké listy Žilinskej univerzity v Žiline
- Issue Year: 19/2017
- Issue No: 2A
- Page Range: 106-111
- Page Count: 6
- Language: English
