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An adaptive cuckoo optimization algorithm for system design optimization under failure dependencies

Abstract : This article presents an algorithm for optimal redundancy and repair team allocation with respect to minimum system cost and a system availability constraint. Four scenarios are considered for the failures occurring in the subsystems of the system: independence, linear dependence, weak dependence, and strong dependence. An adaptive cuckoo optimization algorithm is developed for solving the nonlinear integer optimization problem of allocation. A series–parallel system with six subsystems is considered as a case study for demonstration purposes. The results obtained highlight the good performance of the developed algorithm.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-02432574
Contributeur : Magalie Prudon <>
Soumis le : mercredi 8 janvier 2020 - 15:05:52
Dernière modification le : jeudi 24 septembre 2020 - 17:20:28

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Mohamed Arezki Mellal, Enrico Zio. An adaptive cuckoo optimization algorithm for system design optimization under failure dependencies. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, SAGE Publications, 2019, 233 (6), pp.1099-1105. ⟨10.1177/1748006X19863639⟩. ⟨hal-02432574⟩

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