In an attempt to reduce the computational effort involved in a typical robustness design optimisation process, the concepts of “entropy” and “complexity” have been introduced as alternative new measures of system uncertainty. A new optimization problem is defined which simultaneously minimizes the criteria while ensuring an adequate robustness of the optimal solution. This has reduced the computational effort by a factor of 100-1000, depending on the problems investigated. These new concepts have the benefit to optimise designs in a much more coherent, global and efficient manner, permitting the minimization of objective functions whilst delivering optimal system variables and robust system parameters.
|Publication status||Published - 1 May 2017|
|Event||La simulation numérique au coeur de l'innovation automobile - ESTACA - Campus Paris, Saint-Quentin-en-Yvelines, France|
Duration: 15 May 2017 → 16 May 2017
|Conference||La simulation numérique au coeur de l'innovation automobile|
|Period||15/05/17 → 16/05/17|
Kayvantash, K., & Bastien, C. (2017). A new entropy based approach for robust optimization (application for passenger safety). Paper presented at La simulation numérique au coeur de l'innovation automobile, Saint-Quentin-en-Yvelines, France.