An efficient global-local hybrid optimisation method using design sensitivity analysis Online publication date: Fri, 15-Aug-2003
by Kyu-Yeul Lee, Seonho Cho, Myung-II Roh
International Journal of Vehicle Design (IJVD), Vol. 28, No. 4, 2002
Abstract: An efficient global-local hybrid optimisation method is developed combining a genetic algorithm (GA) as a global optimiser and a method of feasible direction (MFD) as a local optimiser. During the global iteration using the GA, the design sensitivity information with respect to design variables is used to perform a what-if study for efficient crossover. After the final global iteration, a local optimisation can be followed to further improve the solution obtained from the GA. The developed global-local hybrid optimisation method is applied to simple mathematical problems to compare the efficiency and accuracy of the proposed method with that of the conventional genetic algorithm. The application of the developed method is also extended to the practical engineering problems, which shows very good and efficient results.
Online publication date: Fri, 15-Aug-2003
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