Optimal allocation problem using Genetic Algorithm

T. Vasanthi and G. Arulmozhi

International Journal of Operational Research, 2009, vol. 5, issue 2, 211-228

Abstract: This paper proposes a genetic model to study the reliability optimisation in a Linear Consecutively Connected System (LCCS) by allocating M statistically independent Multi-state Elements with different characteristics to the first N positions. The system is reliable if the first position is connected with the (N + 1)th position. The reliability of LCCS is obtained using Universal Generating Function technique. The optimal allocation is obtained by means of Genetic Algorithm. In our work, for the one-to-one allocation, the Permutation Crossover is used, which reduces the complexity of the problem, and also yield better result.

Keywords: LCCS; linear consecutively connected systems; multi-state elements; system reliability; UGF; universal generating function; GAs; genetic algorithms; permutation crossover; allocation optimisation. (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:5:y:2009:i:2:p:211-228

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