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Article Dans Une Revue Reliability Engineering and System Safety Année : 2003

Availability Allocation to Repairable Systems with Genetic Algorithms: A Multi-Objective Formulation

Résumé

This paper describes a methodology based on genetic algorithms (GA) and experiments plan to optimize the availability and the cost of reparable parallel-series systems. It is a NP-hard problem of multi-objective combinatorial optimization, modeled with continuous and discrete variables. By using the weighting technique, the problem is transformed into a single-objective optimization problem whose constraints are then relaxed by the exterior penalty technique. We then propose a search of solution through GA, whose parameters are adjusted using experiments plan technique. A numerical example is used to assess the method.
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Dates et versions

hal-03052854 , version 1 (10-12-2020)

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Charles Elegbede, Kondo Hloindo Adjallah. Availability Allocation to Repairable Systems with Genetic Algorithms: A Multi-Objective Formulation. Reliability Engineering and System Safety, 2003, 82 (3), pp.319-330. ⟨10.1016/j.ress.2003.08.001⟩. ⟨hal-03052854⟩
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