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03/24/2022
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models
Explainable artificial intelligence (XAI) is an important and rapidly ex...
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10/28/2020
Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering
In model-based evolutionary algorithms (EAs), the underlying search dist...
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06/11/2020
Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization – applied to brachytherapy treatment planning for p
The aim of bi-objective optimization is to obtain an approximation set o...
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04/20/2020
Local Search is a Remarkably Strong Baseline for Neural Architecture Search
Neural Architecture Search (NAS), i.e., the automation of neural network...
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04/10/2020
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing
Domination-based multi-objective (MO) evolutionary algorithms (EAs) are ...
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02/17/2020
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy
To study radiotherapy-related adverse effects, detailed dose information...
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07/25/2019
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization
This report presents benchmarking results of the Hill-Valley Evolutionar...
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10/16/2018
Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering
Model-based evolutionary algorithms (EAs) adapt an underlying search mod...
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06/30/2018