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07/04/2022
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective
Real-world design problems are a messy combination of constraints, objec...
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02/04/2022
COIL: Constrained Optimization in Learned Latent Space – Learning Representations for Valid Solutions
Constrained optimization problems can be difficult because their search ...
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03/09/2020
Automating Representation Discovery with MAP-Elites
The way solutions are represented, or encoded, is usually the result of ...
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07/16/2019
Prediction of neural network performance by phenotypic modeling
Surrogate models are used to reduce the burden of expensive-to-evaluate ...
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06/11/2019
Weight Agnostic Neural Networks
Not all neural network architectures are created equal, some perform muc...
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06/15/2018
Data-Efficient Design Exploration through Surrogate-Assisted Illumination
Design optimization techniques are often used at the beginning of the de...
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04/15/2018
Data-efficient Neuroevolution with Kernel-Based Surrogate Models
Surrogate-assistance approaches have long been used in computationally e...
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02/13/2017