Reliability optimisation using harmony search algorithm under performance and budget constraints

Abdelkader Zeblah, Eric Chatelet, Farouk Yalaoui, Mohamed El Samrout and Yamani Massim

International Journal of Reliability and Safety, 2010, vol. 4, issue 2/3, 299-317

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.

Keywords: reliability optimisation; HSA; harmony search algorithm; harmony search optimisation; UMGF; universal moment generating function; performance constraints; budget constraints; power systems. (search for similar items in EconPapers)
Date: 2010
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