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Iterated racing algorithm for simulation-optimisation of maintenance planning.

Lacroix, Benjamin; McCall, John; Lonchampt, J�r�me


Benjamin Lacroix

J�r�me Lonchampt


The purpose of this paper is two fold. First, we present a set of benchmark problems for maintenance optimisation called VMELight. This model allows the user to define the number of components in the system to maintain and a number of customisable parameters such as the failure distribution of the components, the spare part stock level and every costs associated with the preventive and corrective maintenances, unavailability and spare parts. From this model, we create a benchmark of 175 optimisation problems across different dimensions. This benchmark allows us to test the idea of using an iterated racing algorithm called IRACE based on the Friedman statistical test, to reduce the number of simulations needed to compare solutions in the population.We assess different population size and truncation rate to show that those parameters can have a strong influence on the performance of the algorithm.


LACROIX, B., MCCALL, J. and LONCHAMPT, J. 2018. Iterated racing algorithm for simulation-optimisation of maintenance planning. In Proceedings of the 2018 IEEE congress on evolutionary computation (CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8477843. Available from:

Conference Name 2018 IEEE congress on evolutionary computation (CEC 2018)
Conference Location Rio de Janeiro, Brazil
Start Date Jul 8, 2018
End Date Jul 13, 2018
Acceptance Date Mar 15, 2018
Online Publication Date Jul 8, 2018
Publication Date Oct 4, 2018
Deposit Date Oct 18, 2018
Publicly Available Date Oct 18, 2018
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Article Number 8477843
Keywords Maintenance optimisation; Racing; Statistical test
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