• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
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Volume 13 Issue 1
Feb.  2000
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Article Contents
ZHAO Zheng-jia, HUANGHong-zhong, CHENXin. A Genetic-Neural Network Algorithm in Optimum Design[J]. Journal of Southwest Jiaotong University, 2000, 13(1): 65-68.
Citation: ZHAO Zheng-jia, HUANGHong-zhong, CHENXin. A Genetic-Neural Network Algorithm in Optimum Design[J]. Journal of Southwest Jiaotong University, 2000, 13(1): 65-68.

A Genetic-Neural Network Algorithm in Optimum Design

  • Publish Date: 25 Feb 2000
  • Agenetic-neural network algorithmforoptimumdesign is developed. In the algorithm, the global property of genetic algorithms (AG) and the parallelism of artificial neural networks (AN2) are combined; GA provides global initial solutions, fromwhich AN2obtains the final solutions. Thus, the defects of slow convergence with GA and easily falling into local solutions with AN2can be overcome. An applied example shows that the global property of the new algorithm is better than that ofAN2, and its convergence is better than that of GA.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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