首页> 外文会议>Structural and multidisciplinary optimization : Extended abstracts >Effects of neural network procedures for improving genetic algorithms
【24h】

Effects of neural network procedures for improving genetic algorithms

机译:神经网络程序对改进遗传算法的影响

获取原文
获取原文并翻译 | 示例

摘要

In the combining strategy proposed by the authors of this paper, the model of multilayer neural network was applied to map the relationship between the parent individuals and the corresponding elite offspring, and was incorporated into the evolutionary procedure to improve genetic algorithms. This paper is involved in the investigation on the procedures of neural network applied in the combing strategy. The model of neural network for improving genetic algorithms is introduced briefly at first. The optimization problems of ten-design-variable function and seventy-two-bar structure are applied to investigate the impact of the patterns on the model of neural network then. The numerical experiment of the influence of the training procedure of the patterns on the model of neural network is made finally.
机译:在本文作者提出的结合策略中,多层神经网络模型被用来映射父母个体与相应的精英后代之间的关系,并被纳入进化过程以改进遗传算法。本文研究了神经网络在梳理策略中的应用过程。首先简要介绍了用于改进遗传算法的神经网络模型。应用十设计变量函数和七十二条结构的优化问题,研究了模式对神经网络模型的影响。最后进行了模式训练过程对神经网络模型影响的数值实验。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号