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

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...

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Main Authors: Abed, S. A., Aljanabi, M., Ameer, N. H. A., Ismail, M. A., Kasim, S., Hassan, R., Sutikno, T.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
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Online Access:http://umpir.ump.edu.my/id/eprint/32759/1/Application%20of%20the%20Jaya%20algorithm%20to%20solve%20the%20optimal.pdf
http://umpir.ump.edu.my/id/eprint/32759/
https://doi.org/10.11591/ijeecs.v24.i2.pp1202-1211
https://doi.org/10.11591/ijeecs.v24.i2.pp1202-1211
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spelling my.ump.umpir.327592022-03-08T03:46:49Z http://umpir.ump.edu.my/id/eprint/32759/ Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft Abed, S. A. Aljanabi, M. Ameer, N. H. A. Ismail, M. A. Kasim, S. Hassan, R. Sutikno, T. QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) 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. Institute of Advanced Engineering and Science 2021-11 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/32759/1/Application%20of%20the%20Jaya%20algorithm%20to%20solve%20the%20optimal.pdf 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) https://doi.org/10.11591/ijeecs.v24.i2.pp1202-1211 https://doi.org/10.11591/ijeecs.v24.i2.pp1202-1211
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Abed, S. A.
Aljanabi, M.
Ameer, N. H. A.
Ismail, M. A.
Kasim, S.
Hassan, R.
Sutikno, T.
Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft
description 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.
format Article
author Abed, S. A.
Aljanabi, M.
Ameer, N. H. A.
Ismail, M. A.
Kasim, S.
Hassan, R.
Sutikno, T.
author_facet Abed, S. A.
Aljanabi, M.
Ameer, N. H. A.
Ismail, M. A.
Kasim, S.
Hassan, R.
Sutikno, T.
author_sort Abed, S. A.
title Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft
title_short Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft
title_full Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft
title_fullStr Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft
title_full_unstemmed Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft
title_sort application of the jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft
publisher Institute of Advanced Engineering and Science
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/32759/1/Application%20of%20the%20Jaya%20algorithm%20to%20solve%20the%20optimal.pdf
http://umpir.ump.edu.my/id/eprint/32759/
https://doi.org/10.11591/ijeecs.v24.i2.pp1202-1211
https://doi.org/10.11591/ijeecs.v24.i2.pp1202-1211
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score 13.244369