Maintenance Optimization using Combined Fuzzy Genetic Algorithm and Local Search

This paper presents an hybridization fuzzy logic controlled genetic algorithm, and local search to solve the preventive maintenance optimization problem in a multi-states series-parallel system. The objective is to optimize for each system component the maintenance policy minimizing a cost function...

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Bibliographic Details
Published in:IFAC-PapersOnLine 2016, Vol.49 (12), p.757-762
Main Authors: Maatouk, I, Chebbo, N., Jarkass, I., Chatelet, E.
Format: Article
Language:English
Subjects:
Fuzzy logic
genetic algorithm
local search
optimization
preventive maintenance
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Summary:This paper presents an hybridization fuzzy logic controlled genetic algorithm, and local search to solve the preventive maintenance optimization problem in a multi-states series-parallel system. The objective is to optimize for each system component the maintenance policy minimizing a cost function under the constraint of required availability and for a specified period. Simulation results are presented for the proposed method which is compared to a genetic algorithm with fixed crossover and mutation probabilities, and to a fuzzy logic controlled genetic algorithm. The experimental results show the advantages and the efficiency of the hybridization FLC-GA, and local search.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2016.07.865