Parameters optimization in a production line using genetic algorithms

被引：1
|
作者：
Bonivento, Claudio [1 ]
Paoli, Andrea [1 ]
Sartini, Matteo [1 ]
机构：
[1] Univ Bologna, CASY Ctr Res Complex Automated Syst, DEIS Dept Elect Comp Sci & Syst, IT-40136 Bologna, Italy
来源：
2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2 | 2008年
关键词：
D O I：
10.1109/CIMCA.2008.51
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work we present an optimization algorithm based on a discrete event simulation engine driven by a meta-heuristic genetic-like search machinery; this algorithm is used to tune logical as well as physical settings in a production line. In this paper the production line and its simulation model will be described and, after a short theoretical review on genetic algorithms, the tool will be presented. Finally its use, as well as the obtained results, will be shown.
引用
收藏
页码：744 / 749
页数：6
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