Multi-objective reliability redundancy allocation in an interval environment using particle swarm optimization

作者：Zhang, Enze^*; Chen, Qingwei

来源：Reliability Engineering & System Safety, 2016, 145: 83-92.

DOI：10.1016/j.ress.2015.09.008

• Reliability optimization
• Multi-objective optimization
• Particle swarm optimization
• Interval number

Most of the existing works addressing reliability redundancy allocation problems are based on the assumption of fixed reliabilities of components. In real-life situations, however, the reliabilities of individual components may be imprecise, most often given as intervals, under different operating or environmental conditions. This paper deals with reliability redundancy allocation problems modeled in an interval environment. An interval multi-objective optimization problem is formulated from the original crisp one, where system reliability and cost are simultaneously considered. To render the multiobjective particle swarm optimization (MOPSO) algorithm capable of dealing with interval multiobjective optimization problems, a dominance relation for interval-valued functions is defined with the help of our newly proposed order relations of interval-valued numbers. Then, the crowding distance is extended to the multi-objective interval-valued case. Finally, the effectiveness of the proposed approach has been demonstrated through two numerical examples and a case study of supervisory control and data acquisition (SCADA) system in water resource management.

• 出版日期2016-1
• 单位南京理工大学