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Case Study 3 : Wing Design with conflicting constraints

A project in conjunction with British Aerospace (BAe), developed an interactive evolutionary design environment for a military airframe preliminary design problem. The problem has three main components - Aerodynamics, Performance and Configuration. Each of these areas has a number of different parameters, and many of the objectives are highly conflicting.


(a) Common region containing high performance solutions for Ferry Range and Turn Rate identified but Specific Excess Power (SEP) cannot be satisfied.


(b) Relaxing filter threshold for SEP allows lower fitness SEP solutions through, boundary moves towards feasible region.


(c) Further relaxation results in the identification of a feasible region for all objectives.

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Relevant Papers

Interactive Designer / Evolutionary Computing Strategies for Conceptual Design Support I. C. Parmee and C. R. Bonham. Artificial Intelligence for Engineering Design, Analysis and Manufacture Journal; Cambridge University Press, 2000, 14, pp 3 – 16.
Preliminary Airframe Design Using Co-Evolutionary Multiobjective Genetic Algorithms. Parmee, I.C. & Watson A.H., In W. Banzhaf and J.~D. et~al., GECCO--99: Proceedings of the Genetic and Evolutionary Computation Conference, Orlando, Florida, USA, pp 1657 - 1665; 1999.
Multi-objective Satisfaction within an Interactive Evolutionary Design Environment I. C. Parmee, A. Watson, D. Cvetkovic, C. Bonham., Journal of Evolutionary Computation; MIT Press; 8, No. 2; 2000, pp 197 - 222.
Introducing Interactive Evolutionary Systems for ill-defined, multi-objective design environments. I. C. Parmee, D. Cvetkovic, C. Bonham, I. Packham., Journal of Advances in Engineering Software,2001, 32 (6), Elsevier, pp 429 – 441.
Improving Problem Definition through Interactive Evolutionary Computation I.C. Parmee., Journal of Artificial Intelligence in Engineering Design, Analysis and Manufacture; 16(3); 2002.