基于CHNN的自动化立体仓库货位优化研究  

Research on Location Optimization of Automated Stereoscopic Warehouse Based on CHNN

作　　者：赵钰 叶飞 骆星智 陈嘉羽 杨飞龙 ZHAO Yu;YE Fei;LUO Xingzhi;CHEN JiaYu;YANG Feilong(Information and Communication Branch,Hefei 230061,China;Logistic Branch,State Grid Anhui Electric Power Co.Ltd.,Hefei 230061,China)

机构地区：[1]国网安徽省电力有限公司,安徽合肥230061 [2]国网安徽省电力有限公司物资分公司,安徽合肥230061

出　　处：《无锡职业技术学院学报》2020年第3期46-49,共4页Journal of Wuxi Institute of Technology

摘　　要：利用神经网络解决组合优化问题是神经网络应用的一个重要方面。文章通过设计CHNN的能量函数与立体仓库货位分配组合优化问题相对应,当CHNN的输出状态趋于平衡点时,能实现立体仓库货位分配组合优化问题的最优解。最后,通过MATLAB实验仿真验证算法的有效性。Using neural network to solve combinatorial optimization problem is an important aspect of neural network application.In this article,the design of the energy function of CHNN aims to realize the combinatorial optimization of stereoscopic warehouse location assignment.When the output state of CHNN reaches a level of equilibrium,the optimal solution can be realized.The effectiveness of the algorithm is verified though MATLAB simulation.

关 键 词：CHNN 立体仓库 货位分配 优化 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]