An adaptive cuckoo optimization algorithm for system design optimization under failure dependencies-Reference-Cited by-同舟云学术

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

Published:2019-07-21 Issue:6 Volume:233 Page:1099-1105
ISSN:1748-006X
Container-title:Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
language:en
Short-container-title:Proceedings of the IMechE

Author:

Mellal Mohamed Arezki¹^ORCID,Zio Enrico²³

Affiliation:

1. LMSS, Faculty of Engineering Sciences (FSI), M’Hamed Bougara University, Boumerdes, Algeria

2. CRC, Mines ParisTech, PSL Research University, Sophia Antipolis, France

3. Energy Department, Politecnico di Milano, Milano, Italy

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.

Publisher

SAGE Publications

Subject

Safety, Risk, Reliability and Quality

Link

http://journals.sagepub.com/doi/pdf/10.1177/1748006X19863639

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