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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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Submitted on : Wednesday, January 8, 2020 - 3:05:52 PM
Last modification on : Thursday, September 24, 2020 - 5:20:28 PM

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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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