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

Abstract : 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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https://hal.univ-lorraine.fr/hal-03052854
Contributor : Kondo Adjallah <>
Submitted on : Thursday, December 10, 2020 - 6:18:06 PM
Last modification on : Friday, December 25, 2020 - 6:10:03 PM
Long-term archiving on: : Thursday, March 11, 2021 - 8:59:34 PM

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

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