A new genetic type method with integrated gradient based algorithm method for storage optimization of supply chain

被引：0
|
作者：
Xu, Ya-ping [1 ]
Liu, Xin [2 ]
机构：
[1] North China Univ Water Resources & Elect Power, Zhengzhou, Peoples R China
[2] China Univ Petr, Beijing, Peoples R China
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2015年
关键词：
supply chain; storage optimization; genetic type method; gradient based algorithm;
D O I：
10.1109/CICN.2015.147
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on the current situation and existing problems of supply chain's storage optimization management, a new genetic type method with integrated gradient based algorithm method for storage optimization of supply chain is proposed. This method combines the fast convergence and strong ability of local search of gradient method and global search ability of genetic algorithm. The problem of storage optimization of supply chain is applied. The research results show that the proposed method is effective and suitable.
引用
收藏
页码：724 / 726
页数：3
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