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Particle swarm optimisation strategy for design optimisation of a series-parallel system incorporating failure dependencies and multiple repair teams

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  • Himani Pant
  • S.B. Singh

Abstract

A series-parallel system with multiple repair teams and failure dependence is investigated in this article. An optimal design problem is being scrutinised and worked upon in the current paper. This work is conducted with reference to prior study conducted by Hu et al. (2012). They used a genetic algorithm (GA) to find the optimal design of the series-parallel configuration consequently minimising its cost. The particle swarm optimisation (PSO) technique is being proposed in this article to further refine their results. The solution entails identifying the vector comprising of system components and repair teams, (n1, n2, ..., nN, r1, r2, ..., rN). These computations were carried out using the computer software Python. As a consequence, extremely intriguing results were achieved.

Suggested Citation

  • Himani Pant & S.B. Singh, 2025. "Particle swarm optimisation strategy for design optimisation of a series-parallel system incorporating failure dependencies and multiple repair teams," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 50(3), pages 371-391.
    • Handle: RePEc:ids:ijisen:v:50:y:2025:i:3:p:371-391
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