Comparison of Simulated Annealing and Particle Swarm Optimization on Reliability-Redundancy Problem

Abstract : Reliability-redundancy is a recurrent problem in engineering where designed systems are meant to be very reliable. However, the cost of manufacturing very high reliability components increases exponentially, therefore redundancy of less reliable components is a palliative solution. Nonetheless, the question remains how many components of low reliability (and of what extent of reliability) should be coupled to produce a system of high reliability. In this paper, I compare the performance of particle swarm optimization (PSO) and simulated annealing (SA) on a system of electricity distribution in a rural hospital. The results proved that PSO outperformed SA. In addition, considering the problem as reliability maximization and cost minimization bi-objective give a useful insight on how the cost increase exponentially at a certain given reliability of the system.
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Martin Bagaram. Comparison of Simulated Annealing and Particle Swarm Optimization on Reliability-Redundancy Problem. [Research Report] University Of Washington. 2017. ⟨hal-02350487⟩

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