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Phased mission system design optimisation using genetic algorithms

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journal contribution
posted on 16.06.2009, 13:20 authored by D. Astapenko, Lisa JacksonLisa Jackson
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.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

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.

Publisher

© RAMS Consultants

Version

AM (Accepted Manuscript)

Publication date

2009

Notes

This is an article from the serial, International Journal of Performability Engineering [© RAMS Consultants] and it is also available at: http://www.ijpe-online.com/index.html

ISSN

0973-1318

Language

en