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Data-Efficient Design Exploration through Surrogate-Assisted Illumination.

Adam Gaier1, Alexander Asteroth2, Jean-Baptiste Mouret3

  • 1Université de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, 53757, Germany adam.gaier@h-brs.de.

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Summary
This summary is machine-generated.

Surrogate-Assisted Illumination (SAIL) is a novel algorithm that efficiently maps design spaces. It generates diverse, high-quality solutions with significantly fewer evaluations than existing methods.

Keywords:
MAP-Elitescomputer automated design.quality-diversitysurrogate modeling

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Area of Science:

  • Engineering
  • Computational Science
  • Artificial Intelligence

Background:

  • Design optimization explores possible solutions but often yields a single optimum.
  • Illumination algorithms like MAP-Elites offer diverse solutions but demand extensive function evaluations.
  • Current methods limit applicability due to high computational costs.

Purpose of the Study:

  • Introduce Surrogate-Assisted Illumination (SAIL), a novel illumination algorithm.
  • Minimize fitness evaluations while mapping user-defined design space features.
  • Enable data-efficient design exploration for broader solution understanding.

Main Methods:

  • Leveraged surrogate modeling techniques within an illumination framework.
  • Developed SAIL to create a comprehensive map of the design space.
  • Applied SAIL to 2D airfoil and 3D aerodynamic optimization problems.

Main Results:

  • SAIL produced hundreds of diverse, high-performing designs for 2D airfoil optimization.
  • Achieved results with several orders of magnitude fewer evaluations than MAP-Elites and CMA-ES.
  • Successfully generated maps of high-performing designs in realistic 3D aerodynamic tasks.

Conclusions:

  • SAIL offers a data-efficient approach to design exploration.
  • Enables understanding of diverse possibilities beyond single optimal solutions.
  • Demonstrates effectiveness in complex 2D and 3D engineering design problems.