Implementation of Memetic Algorithms into Structural Optimization

  • Peter Pechac
  • Milan Saga
  • Ardeshir Guran
  • Leszek Radziszewski
Keywords: memetic algorithm, structural optimization, pattern search, Nelder-Mead method, nonlinear conjugate gradient method, particle swarm optimization, fully stress design

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.

Author Biographies

Peter Pechac

Department of Applied Mechanics, Faculty of Mechanical Engineering, University of Zilina, Slovakia

Milan Saga

Department of Applied Mechanics, Faculty of Mechanical Engineering, University of Zilina, Slovakia

Ardeshir Guran

Institute of Structronics, Ottawa, Canada

Leszek Radziszewski

Faculty of Mechatronics and Machine Building, Kielce University of Technology, Kielce, Poland

Published
2016-03-31
How to Cite
Pechac, P., Saga, M., Guran, A., & Radziszewski, L. (2016). Implementation of Memetic Algorithms into Structural Optimization. Communications - Scientific Letters of the University of Zilina, 18(1A), 64-69. Retrieved from http://journals.uniza.sk/index.php/communications/article/view/361
Issue
Vol 18 No 1A (2016)
Section
Articles