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논문검색

Joint Optimization Method Combining Genetic Algorithm and Numerical Algorithm Based on MATLAB

초록

영어

A two-bar plane truss is builtin MATLAB based on mathematical model. Then the authors use genetic algorithm toolbox to solve this problem. The parametric truss model is set up in the finite element analysis software ANSYS. It is analyzed by first-order algorithm. The comparison of two kinds results show the pure genetic algorithm doesn’t always have an advantage over other algorithms. In the end, a joint optimization method is put forward on the basis of genetic algorithm. It combines genetic algorithm based on MATLAB toolbox and numerical algorithm based on quasi-Newton method. This method is illustrated by the numerical example of the two-bar plane truss. The results show this joint optimization method can get the global optimal solution of this problem every time.

목차

Abstract
 1. Introduction
 2. The Evolutionary Process of Genetic Algorithm and Parameter Setting
  2.1. The Basic Process of Genetic Algorithm
  2.2. The Genetic Operator Parameter Settings
 3. Numerical Algorithm Based on Quasi-Newton Method
 4. A Numerical Example
 5. Conclusions
 References

저자정보

  • Yanhua Guo School of Civil Engineering, Hebei University of Engineering, Handan, Hebei, China
  • Feifei Liu School of Civil Engineering, Hebei University of Engineering, Handan, Hebei, China
  • Ning Zhang School of Civil Engineering, Hebei University of Engineering, Handan, Hebei, China
  • Tao Wang School of Civil Engineering, Hebei University of Engineering, Handan, Hebei, China

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