Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft

Abed, S. A. and Aljanabi, M. and Ameer, N. H. A. and Ismail, M. A. and Kasim, S. and Hassan, R. and Sutikno, T. (2021) Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft. Indonesian Journal of Electrical Engineering and Computer Science, 24 (2). pp. 1202-1211. ISSN 2502-4752. (Published)

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Abstract

In this paper the reliability of reduction oxygen supply system (ROSS) of a spacecraft which was calculated as a complex system using minimal cut method. The reliability of each component of system was calculated as well as the reliability importance of the system. The cost of each component of the system was possible approaches of the allocation values of reliability based the minimization of the overall cost in this system. The advantage of this algorithm can be used to allocate the optimization of reliability for simple or complex system. This optimization is achieved using the Jaya algorithm. The proposed technique is based on the notion that a conclusion reached on a particular problem should pass near the best results and avoid the worst outcomes. The original findings of this paper are: I) the system used in this paper is a spacecraft's reduced oxygen supply system with the logarithmic cost function; and ii) the results obtained were by using the Jaya algorithm to solve specific system reliability optimization problems.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Jaya algorithm; Optimal reliability allocation; Reduction oxygen; Reliability network; Reliability optimization; Spacecraft
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Computing
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 08 Mar 2022 03:46
Last Modified: 08 Mar 2022 03:46
URI: http://umpir.ump.edu.my/id/eprint/32759
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