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20172025
most citedData-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination

45 citations · 118 across the 9 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.NE2022

T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective

Adam Gaier, James Stoddart, Lorenzo Villaggi +1

Real-world design problems are a messy combination of constraints, objectives, and features. Exploring these problem spaces can be defined as a Multi-Criteria Exploration (MCX) pro…

cs.NE2022★ 11 cited

COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions

Peter J Bentley, Soo Ling Lim, Adam Gaier +1

Constrained optimization problems can be difficult because their search spaces have properties not conducive to search, e.g., multimodality, discontinuities, or deception. To addre…