A method is proposed for decomposing large optimization problems encountered in the design of engineering systems such as an aircraft into a number of smaller subproblems. The decomposition is achieved by organizing the problem and the subordinated subproblems in a tree hierarchy and optimizing each subsystem separately. Coupling of the subproblems is accounted for by subsequent optimization of the entire system based on sensitivities of the suboptimization problem solutions at each level of the tree to variables of the next higher level. A formalization of the procedure suitable for computer implementation is developed and the state of readiness of the implementation building blocks is reviewed showing that the ingredients for the developm...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
Complex systems, such as those encountered in aerospace engineering, can typically be considered as ...
A research project to comparatively evaluate 10 nonlinear optimization algorithms was recently compl...
The currently common sequential design process for engineering systems is likely to lead to suboptim...
A method is described for decomposing an optimization problem into a set of subproblems and a coordi...
A new, non-hierarchic decomposition is formulated for system optimization that uses system analysis,...
Large scale optimization problems are tractable only if they are somehow decomposed. Hierarchical de...
This paper describes a research program aimed at improved methods for multidisciplinary design and o...
Decomposition of large problems into a hierarchic pyramid of subproblems was proposed in the literat...
This dissertation focuses on how existing optimization algorithms can be modified to take advantage ...
Recently emerging methodology for optimal design of aircraft treated as a system of interacting phys...
A multilevel/multidisciplinary optimization scheme for sizing an aircraft wing structure is describe...
A general algorithm is proposed which carries out the design process iteratively, starting at the to...
A computer program designed to simulate and improve multilevel optimization techniques is described....
Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. ...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
Complex systems, such as those encountered in aerospace engineering, can typically be considered as ...
A research project to comparatively evaluate 10 nonlinear optimization algorithms was recently compl...
The currently common sequential design process for engineering systems is likely to lead to suboptim...
A method is described for decomposing an optimization problem into a set of subproblems and a coordi...
A new, non-hierarchic decomposition is formulated for system optimization that uses system analysis,...
Large scale optimization problems are tractable only if they are somehow decomposed. Hierarchical de...
This paper describes a research program aimed at improved methods for multidisciplinary design and o...
Decomposition of large problems into a hierarchic pyramid of subproblems was proposed in the literat...
This dissertation focuses on how existing optimization algorithms can be modified to take advantage ...
Recently emerging methodology for optimal design of aircraft treated as a system of interacting phys...
A multilevel/multidisciplinary optimization scheme for sizing an aircraft wing structure is describe...
A general algorithm is proposed which carries out the design process iteratively, starting at the to...
A computer program designed to simulate and improve multilevel optimization techniques is described....
Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. ...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
Complex systems, such as those encountered in aerospace engineering, can typically be considered as ...
A research project to comparatively evaluate 10 nonlinear optimization algorithms was recently compl...