ASTAPENKO, D. and BARTLETT, L.M., 2009. Phased mission system design optimisation using genetic algorithms. International Journal of Performability Engineering, 5 (4), pp.313-324.
A phased mission system represents a system whose performance is divided
into consecutive non-overlapping phases. It is important to ensure safety of a phased
mission system since the failure of it can have both life threatening and financial
consequences. The focus of this paper is to develop an optimisation method to construct
an optimal design case for a phased mission system, with the aim of minimising its
unreliability and at the same time ensuring optimal usage of available resources
throughout all phases. The introduced phased mission optimisation is represented as the
constrained single objective problem. Here failure of the overall mission is the objective
function and the introduced constraints are employed to determine the optimal use of
resources. The implemented optimisation method employs Fault Tree Analysis to
represent system performance and Binary Decision Diagrams to quantify each phase
failure probability. A single objective Genetic Algorithm has been chosen as the
optimisation technique. An Unmanned Aerial Vehicle mission has been selected to
demonstrate the methods application. The results and the influence of modifications to
the optimisation algorithm are discussed.