The currently common sequential design process for engineering systems is likely to lead to suboptimal designs. Recently developed decomposition methods offer an alternative for coming closer to optimum by breaking the large task of system optimization into smaller, concurrently executed and, yet, coupled tasks, identified with engineering disciplines or subsystems. The hierarchic and non-hierarchic decompositions are discussed and illustrated by examples. An organization of a design process centered on the non-hierarchic decomposition is proposed
Decomposition-based optimization techniques are attractive for designing complex systems in industr...
Mutual couplings among the mathematical models of physical phenomena and parts of a system such as a...
A research project to comparatively evaluate 10 nonlinear optimization algorithms was recently compl...
A new, non-hierarchic decomposition is formulated for system optimization that uses system analysis,...
A method is proposed for decomposing large optimization problems encountered in the design of engine...
Optimization by decomposition, complex system sensitivity analysis, and a rapid growth of disciplina...
Recently emerging methodology for optimal design of aircraft treated as a system of interacting phys...
This paper defines the Multidisciplinary Design Optimization (MDO) as a new field of research endeav...
A method is described for decomposing an optimization problem into a set of subproblems and a coordi...
A unified overview is given of problem formulation approaches for the optimization of multidisciplin...
Multidisciplinary design optimization (MDO) has evolved remarkably since its inception 25 years ago....
Numerous hierarchical and nonhierarchical decomposition strategies for the optimization of large sca...
Research under the subject grant is being carried out in a jointly coordinated effort within three l...
In the design of complex engineering systems involving multiple disciplines it is critical that the ...
A general algorithm is proposed which carries out the design process iteratively, starting at the to...
Decomposition-based optimization techniques are attractive for designing complex systems in industr...
Mutual couplings among the mathematical models of physical phenomena and parts of a system such as a...
A research project to comparatively evaluate 10 nonlinear optimization algorithms was recently compl...
A new, non-hierarchic decomposition is formulated for system optimization that uses system analysis,...
A method is proposed for decomposing large optimization problems encountered in the design of engine...
Optimization by decomposition, complex system sensitivity analysis, and a rapid growth of disciplina...
Recently emerging methodology for optimal design of aircraft treated as a system of interacting phys...
This paper defines the Multidisciplinary Design Optimization (MDO) as a new field of research endeav...
A method is described for decomposing an optimization problem into a set of subproblems and a coordi...
A unified overview is given of problem formulation approaches for the optimization of multidisciplin...
Multidisciplinary design optimization (MDO) has evolved remarkably since its inception 25 years ago....
Numerous hierarchical and nonhierarchical decomposition strategies for the optimization of large sca...
Research under the subject grant is being carried out in a jointly coordinated effort within three l...
In the design of complex engineering systems involving multiple disciplines it is critical that the ...
A general algorithm is proposed which carries out the design process iteratively, starting at the to...
Decomposition-based optimization techniques are attractive for designing complex systems in industr...
Mutual couplings among the mathematical models of physical phenomena and parts of a system such as a...
A research project to comparatively evaluate 10 nonlinear optimization algorithms was recently compl...