A conclusion of the research project titled 'comparative evaluation of ten different nonlinear optimization algorithms' that has been completed recently was that no single optimizer could successfully solve all the forty problems in the test-bed, even though most optimizers successfully solved at least one third of the examples. It was realized that improvement to search directions and step lengths, available in the ten optimizers that have been compared, is not likely to alleviate the convergence difficulties. For the solution of those difficult problems an alternate approach called, 'cascade optimization strategy', has been devised. The cascade strategy utilizes several optimizers, one followed by another in a specified sequence to solve a problem with a pseudo random scheme to perturb design variables between different optimizers. The cascade strategies have been tested out successfully for a number of problems consisting of supersonic and subsonic aircraft configuration design and air breathing engines for high speed civil transport applications. Solutions to these problems when attempted by an individual optimizer were not successful. The cascade optimization strategy, however generated feasible optimum solution for both aircraft and engine problems. This paper presents the cascade strategy and solution of a number of aircraft and engine problems.
A cascade optimization strategy for solution of difficult multi-disciplinary design problems
Eine Kaskadenoptimierungsstrategie zur Lösung komplizierter, interdisziplinärer Entwurfsprobleme
1996
11 Seiten, 6 Bilder, 16 Quellen
Aufsatz (Konferenz)
Englisch
A Cascade Optimization Strategy for Solution of Difficult Multi-Disciplinary Design Problems
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