Maintenance optimization of infrastructure networks using genetic algorithms
作者： G. Morcous , Z. Lounis
DOI: 10.1016/J.AUTCON.2004.08.014
关键词: Reliability (computer networking) 、 Computational complexity theory 、 Genetic algorithm 、 Engineering 、 Optimization problem 、 Predictive maintenance 、 Time horizon 、 Process (engineering) 、 Operations research 、 Optimal maintenance
摘要: Abstract This paper presents an approach to determining the optimal set of maintenance alternatives for a network infrastructure facilities using genetic algorithms. Optimal are those solutions that minimize life-cycle cost while fulfilling reliability and functionality requirements over given planning horizon. Genetic algorithms applied optimization because their robust search capabilities resolve computational complexity large-size problems. In proposed approach, Markov-chain models used predicting performance ability capture time-dependence uncertainty deterioration process, operations, initial condition, as well practicality level analysis. Data obtained from Ministere des Transports du Quebec database demonstrate feasibility capability in programming concrete bridge decks.
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