Fleet maintenance scheduling with an ant colony system approach

被引：0
|
作者：
Mendes Abrahdol, Fernando Teixeira [1 ]
Fares Gualda, Nicolau Dionisio
机构：
[1] ILA, Divisao Pesquisa, Guarulhos, Brazil
[2] Univ Sao Paulo, Escola Politecn, Sao Paulo, Brazil
来源：
ANT COLONY OPTIMIZATION AND SWARM INTELLIGENCE, PROCEEDINGS | 2006年 / 4150卷
关键词：
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 paper presents highlights of a doctoral research addressed to model and solve the problem of preventive maintenance scheduling of fleets of vehicles. The problem is formulated and several Ant Colony based approaches were proposed and tested considering different instances of the maintenance scheduling problem, including applications related to the preventive maintenance of an aircraft fleet belonging to the Brazilian Air Force. The most successful approach has shown to be the one based on ACS with a specific local search procedure and inspired on the application of ACO to the timetabling problem. Details on the problem formulation, on the proposed approaches, and on the performed tests and applications are presented.
引用
收藏
页码：412 / 419
页数：8
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