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Reliability optimisation using harmony search algorithm under performance and budget constraints

Abstract : The redundancy optimisation problem is a well-known NP hard problem that involves the selection of components (elements) and redundancy levels to maximise system reliability, given different system-level constraints such as cost and performance. This paper presents an efficient algorithm based on the Harmony Search Algorithm (HSA) to solve this optimisation problem. The HSA is a new nature-inspired algorithm which mimics the improvisation process of music players. The problem considered in testing our algorithm is limited to the binary series-parallel system, where the problem consists of a selection of elements and redundancy levels. The proposed approach has the advantage to allow power components with different parameters to be allocated in power systems. To allow fast reliability estimation, a Universal Moment Generating Function (UMGF) method is applied. A computer program has been developed to implement the UMGF and the HSA. An illustrative example is presented.
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https://hal-utt.archives-ouvertes.fr/hal-02359490
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Tuesday, November 12, 2019 - 1:56:38 PM
Last modification on : Monday, May 4, 2020 - 5:42:02 PM

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Abdelkader Zeblah, Eric Chatelet, Farouk Yalaoui, Mohamed El Samrout, Yamani Massim. Reliability optimisation using harmony search algorithm under performance and budget constraints. International Journal of Reliability and Safety, Inderscience, 2010, 4 (2/3), pp.299. ⟨10.1504/IJRS.2010.032450⟩. ⟨hal-02359490⟩

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