Title :
Ant colony algorithm for optimal resources configuration of equipment maintenance support
Author :
Wu, Yong ; Ma, Lin ; Yang, Jing
Author_Institution :
Dept. of Syst. Eng. of Eng. Technol., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
The optimal resources configuration of equipment maintenance support is kind of typical series-parallel system combinatorial optimization problem. Ants´ routing behavior model has many resemblances to the resources configuration of equipment maintenance support. According to this and using ant colony algorithm to the protection of resources allocation optimization, the ability of optimization for the algorithm is tested experimentally which gives encouraging results.
Keywords :
maintenance engineering; optimisation; resource allocation; ant colony algorithm; combinatorial optimization problem; equipment maintenance support; optimal resource configuration; resource allocation; series-parallel system; Aircraft; Data mining; Heuristic algorithms; Maintenance engineering; Optimization; Resource management; Routing; Ant colony algorithm; Combinatorial optimization; Pheromone update;
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-61284-667-5
DOI :
10.1109/ICRMS.2011.5979399
