Centro Ricerche Fiat S.C.p.A.-Rosario Raniolo, Marco Danti
Centro Ricerche Fiat S.C.p.A., AGH University-Jakub Korta
by SAE International in United States
In the last years engineers have to deal with multiple, often conflicting targets, where improvement of one quantity leads to deterioration of others, therefore it is impossible to obtain simultaneous structure enhancements without automatic optimizations tools. The so-called trade-offs have to be applied, providing less efficient modifications, nevertheless, for all of the design objectives. The Pareto front is a method that helps to determine a set of equipotential designs.In order to explore entire design space, response surface methodology supplemented by genetic algorithms is often used. In the work presented, the Gaussian Processes Methodology and an Adaptive Range Multi-Objective Genetic Algorithm - ARMOGA were implemented. Basing on the solutions obtained by the design of experiment, response surface methodology is used to predict the values of the measured outputs throughout the full range of interest. Since only a reduced number of tests is needed, the overall computational time is strongly reduced. Subsequent application of genetic algorithms, provide the possibility of detailed exploration of established metamodels.In Centro Ricerche Fiat S.C.p.A. an effort of elaborating a novel optimization platform…
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