TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Gaier, Adam
A1  - Asteroth, Alexander
A1  - Mouret, Jean-Baptiste
T1  - Aerodynamic Design Exploration through Surrogate-Assisted Illumination
T2  - 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum. 5-9 June 2017, Denver, CO, USA
N2  - A new method for design space exploration and optimization, Surrogate-Assisted Illumination (SAIL), is presented. Inspired by robotics techniques designed to produce diverse repertoires of behaviors for use in damage recovery, SAIL produces diverse designs that vary according to features specified by the designer. By producing high-performing designs with varied combinations of user-defined features a map of the design space is created. This map illuminates the relationship between the chosen features and performance, and can aid designers in identifying promising design concepts. SAIL is designed for use with compu-tationally expensive design problems, such as fluid or structural dynamics, and integrates approximative models and intelligent sampling of the objective function to minimize the number of function evaluations required. On a 2D airfoil optimization problem SAIL is shown to produce hundreds of diverse designs which perform competitively with those found by state-of-the-art black box optimization. Its capabilities are further illustrated in a more expensive 3D aerodynamic optimization task.
KW  - Surrogate Modelling
KW  - Illumination algorithms
KW  - Aerodynamics
KW  - Optimisation 3D
KW  - Evolutionary algorithms
KW  - 3D design
UR  - https://hal.inria.fr/hal-01518786
U6  - https://doi.org/10.2514/6.2017-3330
DO  - https://doi.org/10.2514/6.2017-3330
PB  - American Institute of Aeronautics and Astronautics
CY  - Reston, Virginia
ER  -