Abstract
In this paper the problem of maximizing the reliability of a complex system by choosing the reliability of its components is solved using the new constrained optimization technique, SWIFT. Lower and upper bounds on the individual components are incorporated into the algorithm by means of suitable variable transformations. This algorithm, when tested on a numerical example, found a higher system reliability in a lesser number of function evaluations than SUMT.

This publication has 4 references indexed in Scilit: