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Found 11 papers, 2 papers with code
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization
For a use case to design buildings that minimize wind nuisance, we show that we can predict flow features around 3D buildings from 2D flow features around building footprints.
Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search
We consider multi-solution optimization and generative models for the generation of diverse artifacts and the discovery of novel solutions.
Hierarchical Surrogate Modeling for Illumination Algorithms
Evolutionary illumination is a recent technique that allows producing many diverse, optimal solutions in a map of manually defined features.
Evolving Parsimonious Networks by Mixing Activation Functions
Neuroevolution methods evolve the weights of a neural network, and in some cases the topology, but little work has been done to analyze the effect of evolving the activation functions of individual nodes on network size, which is important when training networks with a small number of samples.
On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities
Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios.
Prototype Discovery using Quality-Diversity
An iterative computer-aided ideation procedure is introduced, building on recent quality-diversity algorithms, which search for diverse as well as high-performing solutions.
Prediction of neural network performance by phenotypic modeling
This difference, the phenotypic distance, can then be used to situate these networks into a common input space, allowing us to produce surrogate models which can predict the performance of neural networks regardless of topology.
Modeling User Selection in Quality Diversity
The initial phase in real world engineering optimization and design is a process of discovery in which not all requirements can be made in advance, or are hard to formalize.
An Analysis of Phenotypic Diversity in Multi-Solution Optimization
More and more, optimization methods are used to find diverse solution sets.
Designing Air Flow with Surrogate-assisted Phenotypic Niching
In complex, expensive optimization domains we often narrowly focus on finding high performing solutions, instead of expanding our understanding of the domain itself.
On the Suitability of Representations for Quality Diversity Optimization of Shapes
The representation, or encoding, utilized in evolutionary algorithms has a substantial effect on their performance.
