As mathematical optimization methodologies become more and more accepted in the various areas of engineering, the complex problems at hand often require multicriteria or multiobjective function optimizations since most real-life design or decision problems involve multiple and conflicting objectives and constraints. In order to decrease the complexity of such optimizations, it seems of interest to investigate how the various objectives and constraints of a given problem influence and complement each other. Such knowledge could reduce the number of objectives and constraints by eliminating from the optimization loosely coupled parameters. In the present approach, various scenarios were developed, and studies in mathematical, structural, aircraft performance, and aircraft multi-disciplinary design optimization were suggested to address these issues. Investigations in structural and aircraft multidisciplinary design optimization were initiated.
[1]
W. Stadler.
Multicriteria Optimization in Engineering and in the Sciences
,
1988
.
[2]
Andrew M. Colman,et al.
Game Theory and Experimental Games: The Study of Strategic Interaction
,
1982
.
[3]
W. Stadler.
NATURAL STRUCTURAL SHAPES (THE STATIC CASE)
,
1978
.
[4]
F. Zagare.
Game Theory: Concepts and Applications
,
1984
.
[5]
R. Haftka,et al.
Elements of Structural Optimization
,
1984
.
[6]
Alfred G. Striz,et al.
Influence of static and dynamic aeroelastic constraints on the optimal structural design of flight vehicle structures
,
1991
.
[7]
Juhani Koski,et al.
Multicriteria Design Optimization
,
1990
.