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

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  • Mohamed Arezki Mellal
  • Enrico Zio

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.

Suggested Citation

  • Mohamed Arezki Mellal & Enrico Zio, 2019. "An adaptive cuckoo optimization algorithm for system design optimization under failure dependencies," Journal of Risk and Reliability, , vol. 233(6), pages 1099-1105, December.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:6:p:1099-1105
    DOI: 10.1177/1748006X19863639
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    References listed on IDEAS

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