Abstract
Under the given system weight constraint, we consider the problem of maximizing the system lifetime and minimizing the system cost. The lifetimes of components in the system are characterized by type-2 fuzzy variables. The numbers of redundant elements of each components are the decision variables. We use the reduction methods to reduce the type-2 fuzzy lifetimes. Then, we propose a goal programming model for this system. We suggest an approximation approach (AA) to the reliability and design an AA-based particle swarm optimization (PSO) algorithm to solve the fuzzy model. © 2011 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Chen, Y., & Liu, Y. (2011). Standby redundancy optimization with type-2 fuzzy lifetimes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6728 LNCS, pp. 329–337). https://doi.org/10.1007/978-3-642-21515-5_39
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
