RESEARCH ON GENETIC ALGORITHM-BASED RAPID DESIGN OPTIMIZATION

  • Tong Yifei Nanjing University of Science and Technology
  • He Yong Nanjing University of Science and Technology
  • Gong Zhibing Nanjing Kangni New Technology of Mechantronic Company Ltd.
  • Li Dongbo Nanjing University of Science and Technology
  • Zhu baiqing Nanjing Institute of Technology
Keywords: genetic algorithm, rapid design, optimization

Abstract

To obtain the competition advantages, the methodology of rapid design (RD) is applied widely in enterprises. Product oriented knowledge applied into product optimization based on design instances can avoid the repeated modeling and analyzing and result in improved design efficiency. Firstly, RD technology is overviewed. Secondly, ge­neral mathematical model of mechanical product rapid optimization is introduced. Thirdly, the process of GA-based rapid optimization combined with BP neural network is derived and the fitness determination of GA Optimization is discussed in detail. Fourthly, on the basis of the uniform trial, the displacement of the H-beam has been calculated. The result shows that the methods are feasible to calculate the fitness of GA with good precise. Finally, an example of H-beam is illustrated to apply GA and BP neural network into design optimization in detail. The research in this paper, however, is beneficial to the application of RD and optimization.

DOI: http://dx.doi.org/10.5755/j01.mech.18.5.2700

Published
2012-10-26
Section
DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS