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Optimal allocation problem using Genetic Algorithm

Author

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  • T. Vasanthi
  • G. Arulmozhi

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.

Suggested Citation

  • T. Vasanthi & G. Arulmozhi, 2009. "Optimal allocation problem using Genetic Algorithm," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 5(2), pages 211-228.
    • Handle: RePEc:ids:ijores:v:5:y:2009:i:2:p:211-228
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    Cited by:

    1. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2024. "Consecutively connected systems with unreliable resource generators and storages," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    2. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2018. "Connectivity evaluation and optimal service centers allocation in repairable linear consecutively connected systems," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 187-193.

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