Multi-objective availability and cost optimization by PSO and COA for series-parallel systems with subsystems failure dependencies

• Published in: Microprocessors and microsystems Vol. 89; p. 104422
• Main Authors: Mellal, Mohamed Arezki, Zio, Enrico
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 01.03.2022; Elsevier BV; Elsevier
• Subjects: Algorithms; Availability; cuckoo optimization algorithm; Engineering Sciences; Failure; failure dependencies; Multiple objective analysis; Optimization; Particle swarm optimization; series-parallel system; Subsystems; system availability; system cost; weighted-sum method; cuckoo optimization algorithm; weighted-sum method; series-parallel system; system availability; particle swarm optimization; system cost; failure dependencies
• ISSN: 0141-9331; 1872-9436
• DOI: 10.1016/j.micpro.2021.104422

System availability and cost are two of the elements of system dependability. Most systems involve subsystems with failure dependencies. The failure dependencies complicate the optimization of those elements. In this paper, the multi-objective optimization problem of availability and cost is addressed for series-parallel systems with subsystems failure dependencies in case of strong dependency. The problem is solved by applying the particle swarm optimization (PSO) algorithm and the cuckoo optimization algorithm (COA). The multi-objective optimization problem is converted to a single one using the weighted-sum method. The results of a system consisting of six subsystems are analyzed with a comparison of the methods. The best value of the system availability and cost, number of function evaluations, CPU time, and standard deviation reveal that the COA has outperformed the PSO.