Implementation of Memetic Algorithms into Structural Optimization
Implementation of Memetic Algorithms into Structural Optimization
Author(s): Peter Pechac, Milan Saga, Ardeshir Guran, Leszek RadziszewskiSubject(s): Methodology and research technology
Published by: Žilinská univerzita v Žilině
Keywords: memetic algorithm; structural optimization; pattern search; Nelder-Mead method; nonlinear conjugate gradient method; particle swarm optimization; fully stress design;
Summary/Abstract: The paper presents an implementation of the memetic algorithm for discrete structural optimization. This algorithm is a combination of genetic algorithm and five local search methods. The proposed memetic algorithm is able to choose the right local search method based on performance which is evaluated in real time during optimization.
Journal: Komunikácie - vedecké listy Žilinskej univerzity v Žiline
- Issue Year: 18/2016
- Issue No: 1A
- Page Range: 64-69
- Page Count: 6
- Language: English
