Harish Garg
School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University, Patiala 147004, Punjab, India.

DOI https://doi.org/10.33889/IJMEMS.2021.6.5.080

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Abstract

The paper aims are to determine the bi-objective reliability-cost problem of a series-parallel system by employing an interactive approach. Multi-objective optimization is a design methodology that optimizes a combination of objective functions orderly and concurrently. The fuzzy membership functions have been designated to settle the contrary nature of the objectives. Based on these functions and the moment of the objectives in the form of the weight vector, a crisp optimization design is formed. Lastly, the inherited problem is determined with the aid of the PSO (Particle Swarm Optimization) algorithm and confronted with the genetic algorithm. The solution resembling the various choices of the decision-makers towards the evaluation of their decision are listed. A decision-maker can pick an immeasurable one according to his requirement to reach at the aspired goal.

Keywords- Reliability-cost optimization, Fuzzy membership function, Series-parallel system, Uncertainty, PSO.

Citation

Garg, H. (2021). Bi-Objective Reliability-Cost Interactive Optimization Model for Series-Parallel System. International Journal of Mathematical, Engineering and Management Sciences, 6(5), 1331-1344. https://doi.org/10.33889/IJMEMS.2021.6.5.080.