Automated decision-making system based on genetic algorithm in managing maintenance process

被引：0
|
作者：
Nikishenko, Aleksey [1 ]
Boyko, Elena [2 ]
Obzherin, Yuriy [2 ]
机构：
[1] KB KA Ltd, St Revolut 1905, Sevastopol 299003, Russia
[2] Sevastopol State Univ, Dept Higher Math, St Univ Skay 33, Sevastopol 299053, Russia
来源：
INTERNATIONAL CONFERENCE ON MODERN TRENDS IN MANUFACTURING TECHNOLOGIES AND EQUIPMENT (ICMTMTE 2017) | 2017年 / 129卷
关键词：
D O I：
10.1051/matecconf/201712903010
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An automated decision-making system in managing the maintenance process was developed. The problem of vector optimization was set. A genetic algorithm with domination sorting and elite selection was used to find a multitude close to the Pareto set in multi-criteria optimization.
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页数：5
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