Multi-objective availability allocation using hesitated attraction based particle swarm optimization

Article type: Research Article

Authors: Samanta, Aniruddha^{; *} | Basu, Kajla

Affiliations: Department of Mathematics, NIT Durgapur, India

Correspondence: [*] Corresponding author. Aniruddha Samanta, Department of Mathematics, NIT Durgapur-713209, India. E-mail: [email protected].

Abstract:  Availability optimization is an important engineering optimization problem in the field of redundancy allocation problem (RAP). Several researchers have focussed on availability allocation problem for series-parallel system with repairable components. But in this paper, a multi-objective availability allocation problem in series-parallel system with both repairable and non-repairable components has been considered. The main objectives of this problem are to maximize the availability and minimize the cost of the system. To find the pareto front for this multi-objective non-linear optimization problem, a multi-objective particle swarm optimization (MOPSO) has been developed. Also to select the best solution from the non-dominated solutions of pareto optimal front, LP norm strategy has been applied. Finally, a comparison procedure is proposed to show the supremacy of the developed MOPSO.

Keywords: Availability allocation, Series-parallel system, Repairable and Non-repairable components, Multi-Objective Particle swarm Optimization (MOPSO)

DOI: 10.3233/JIFS-181846

Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6037-6047, 2019