21 citations · 100 across the 38 of their papers we have counts for
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Designing Air Flow with Surrogate-assisted Phenotypic Niching
Alexander Hagg, Dominik Wilde, Alexander Asteroth +1
In complex, expensive optimization domains we often narrowly focus on finding high performing solutions, instead of expanding our understanding of the domain itself. But what if we…
An Analysis of Phenotypic Diversity in Multi-Solution Optimization
Alexander Hagg, Mike Preuss, Alexander Asteroth +1
More and more, optimization methods are used to find diverse solution sets. We compare solution diversity in multi-objective optimization, multimodal optimization, and quality dive…
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
Jacob de Nobel, Hao Wang, Thomas Bäck
In this study, we analyze behaviours of the well-known CMA-ES by extracting the time-series features on its dynamic strategy parameters. An extensive experiment was conducted on tw…
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules
Jacob de Nobel, Diederick Vermetten, Hao Wang +2
Introducing new algorithmic ideas is a key part of the continuous improvement of existing optimization algorithms. However, when introducing a new component into an existing algori…
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
Furong Ye, Carola Doerr, Thomas Bäck
A key challenge in the application of evolutionary algorithms in practice is the selection of an algorithm instance that best suits the problem at hand. What complicates this decis…
A Modular Hybridization of Particle Swarm Optimization and Differential Evolution
Rick Boks, Hao Wang, Thomas Bäck
In swarm intelligence, Particle Swarm Optimization (PSO) and Differential Evolution (DE) have been successfully applied in many optimization tasks, and a large number of variants,…