Abstract
In this paper, we first formulate a De Novo nonlinear integer programming (NIP-I(DN)) problem of system reliability with interval coefficients. It is used for estimating and designing optimal reliability of an incomplete fault detecting and switching (FDS) system. Because of this we are able to use a linear approximation for monotonically increasing reliability function ( i.e., objective function) of the original NIP problem. We then transformed it into Knapsack problem with interval coefficients. Last, the problem is solved directly using improved genetic algorithms (IGA) by keeping the nonlinear constraints. We discuss and compare the efficiency between the proposed method and the former one.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
