Pharmaceutical routes optimization using artificial intelligence techniques

被引：0
|
作者：
Curcio, Duilio [1 ]
Longo, Francesco [1 ]
Mirabelli, Giovanni [1 ]
Papoff, Enrico [1 ]
机构：
[1] Univ Calabria, Dept Mech Engn, Modeling & Simulat Ctr, Lab Enterprise Solut, I-87036 Arcavacata Di Rende, Italy
来源：
IDAACS 2007: PROCEEDINGS OF THE 4TH IEEE WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS | 2007年
关键词：
supply chain management; artificial intelligence; routes optimization; ants theory; genetic algorithms; modeling; simulation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The focus of this paper is to analyze the supply chain routes by means of artificial intelligence techniques for reducing transportation costs. The simulation model, built in eM-Plant, is used to implement two different approaches based on the ants theory and the genetic algorithms. A comparison of results is made in order to identify, the better approach to adopt for the optimization process.
引用
收藏
页码：238 / 242
页数：5
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