Communications - Scientific Letters of the University of Zilina 2016, 18(11):64-69 | DOI: 10.26552/com.C.2016.1A.64-69

Implementation of Memetic Algorithms into Structural Optimization

Peter Pechac1, Milan Saga1, Ardeshir Guran2, Leszek Radziszewski3
1 Department of Applied Mechanics, Faculty of Mechanical Engineering, University of Zilina, Slovakia
2 Institute of Structronics, Ottawa, Canada
3 Faculty of Mechatronics and Machine Building, Kielce University of Technology, Kielce, Poland

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.

Keywords: memetic algorithm; structural optimization; pattern search; Nelder-Mead method; nonlinear conjugate gradient method; particle swarm optimization; fully stress design

Published: March 31, 2016  Show citation

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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. doi: 10.26552/com.C.2016.1A.64-69
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