This is a conversion of the General Aviation Aircraft problem into MATLAB
General Aviation Aircraft Problem using Response Surface Model
Original development was made at the Pennsylvania State University by Dr. Timothy Simpson, Dr. Patrick Reed, Brayan D'Souza, Ruchit Shah, Matthew Woodruff, and David Hadka.
Adaptation to MATLAB was performed by Mario Castro-Gama
If this software is used in academic publications, please cite the following papers accordingly:
[1] Simpson, T.W., Chen, W., Allen, J.K., and Mistree, F. (1996),
"Conceptual design of a family of products through the use of
the robust concept exploration method," in 6th AIAA/USAF/NASA/
ISSMO Symposium on Multidiciplinary Analysis and Optimization,
vol. 2, pp. 1535-1545.
[2] Simpson, T.W., D'Souza, B.S. (2004), "Assessing variable levels
of platform commonality within a product family using a
multiobjective genetic algorithm," Concurrent Engineering:
Research and Applications, vol. 12, no. 2, pp. 119-130.
[3] Shah, R., Reed, P.M., and Simpson, T.W. (2011), "Many-objective
evolutionary optimization and visual analytics for product
family design," Multiobjective Evolutionary Optimisation for
Product Design and Manufacturing, Springer, London, pp. 137-159.
[4] Woodruff, M.J., Reed, P.M. and Simpson, T.W. (2013), "Many objective
visual analytics: rethinking the design of complex engineered systems
Struct Multidisc Optim, 48, 201–219
/* Implementation follows [3] and [4] */
Input variables
vars: the array of decision variables (27)
Output variables
objs: the array of objectives (10)
cons: the array of constraints (1)
Developed in MATLAB by: Mario Castro Gama PhD Researcher 2016-08-01
- The number of decision variables
GAA_Number_variables = 27;
1.1 The decision variable lower bounds
GAA_Bounds_lower = [ 0.240, 7.000, 0.000, 5.500, 19.000, 85.000, 14.000, 3.000, 0.460, ...
0.240, 7.000, 0.000, 5.500, 19.000, 85.000, 14.000, 3.000, 0.460, ...
0.240, 7.000, 0.000, 5.500, 19.000, 85.000, 14.000, 3.000, 0.460];
1.2 The decision variable upper bounds
GAA_Bounds_upper = [ 0.480, 11.000, 6.000, 5.968, 25.000, 110.000, 20.000, 3.750, 1.000, ...
0.480, 11.000, 6.000, 5.968, 25.000, 110.000, 20.000, 3.750, 1.000, ...
0.480, 11.000, 6.000, 5.968, 25.000, 110.000, 20.000, 3.750, 1.000];
- The number of objectives
GAA_Number_objectives = 10;
- The number of constraints
GAA_Number_constraints = 1;
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