Two techniques for formulating the coupling between levels in multilevel optimization by linear decomposition, proposed as improvements over the original formulation, now several years old, that relied on explicit equality constraints which were shown by application experience as occasionally causing numerical difficulties. The two new techniques represent the coupling without using explicit equality constraints, thus avoiding the above diffuculties and also reducing computational cost of the procedure. The old and new formulations are presented in detail and illustrated by an example of a structural optimization. A generic version of the improved algorithm is also developed for applications to multidisciplinary systems not limited to struc...
A method is proposed for decomposing large optimization problems encountered in the design of engine...
167 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.A parallel decomposition for ...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
A method is described for decomposing an optimization problem into a set of subproblems and a coordi...
A multilevel optimization approach which is applicable to nonhierarchic coupled systems is presented...
The developments toward a general multilevel optimization capability and results for a three-level s...
Some engineering applications of heuristic multilevel optimization methods are presented and the dis...
Decomposition-based optimization techniques are attractive for designing complex systems in industr...
Complex systems, such as those encountered in aerospace engineering, can typically be considered as ...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
A method for integrated control/structure optimization by multilevel decomposition is presented. It ...
In this paper, we propose a Lagrange-Kuhn-Tucker based coordination scheme to deal with level coupli...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
A new, non-hierarchic decomposition is formulated for system optimization that uses system analysis,...
A.J. de Wit∗and F. van Keulen† Multi-level optimization and multi-disciplinary optimization are area...
A method is proposed for decomposing large optimization problems encountered in the design of engine...
167 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.A parallel decomposition for ...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
A method is described for decomposing an optimization problem into a set of subproblems and a coordi...
A multilevel optimization approach which is applicable to nonhierarchic coupled systems is presented...
The developments toward a general multilevel optimization capability and results for a three-level s...
Some engineering applications of heuristic multilevel optimization methods are presented and the dis...
Decomposition-based optimization techniques are attractive for designing complex systems in industr...
Complex systems, such as those encountered in aerospace engineering, can typically be considered as ...
A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicrit...
A method for integrated control/structure optimization by multilevel decomposition is presented. It ...
In this paper, we propose a Lagrange-Kuhn-Tucker based coordination scheme to deal with level coupli...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
A new, non-hierarchic decomposition is formulated for system optimization that uses system analysis,...
A.J. de Wit∗and F. van Keulen† Multi-level optimization and multi-disciplinary optimization are area...
A method is proposed for decomposing large optimization problems encountered in the design of engine...
167 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.A parallel decomposition for ...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...