Combining the genetic algorithms with artificial neural networks for optimization of board allocating

编号 zgly0000305125

文献类型 期刊论文

文献题名 Combining the genetic algorithms with artificial neural networks for optimization of board allocating

学科分类 220.5550;木材加工与人造板工艺学

作者 CAOJun  ZHANGYi-zhuo  YUEQi 

作者单位 NortheastForestryUniversity 

母体文献 Journal of Forestry Research;林业研究: 英文版 

年卷期 2003,14(1)

页码 87-88

年份 2003 

分类号 TS612.1 

关键词 人工神经网络  遗传算法  优化  板材  BP模型 

文摘内容 This paper introduced the Genetic Algorithms (GAs) and Artificial Neural Networks(ANNs),which have been widely used in optimization of allocating.The combinationg way of the two optimizing algorithms was used in board allocating of fumiture production.In the experiment,the rectangular flake board of 3650mm×1850mm was used as raw material to allocate 100 sets of Table Bucked.The utilizing rate of the board reached 94.14% and the calculating time was only 35s.The experiment result proofed that the method by using the GA for optimizing the weights of the ANN can raise the utilizing rate of the board and can shorten the time of the design.At the same time,this method can simultaneously searched in many directions,thus greatly increasing the probability of finding a global optimum。