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06/29/2023
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
The L_∞ star discrepancy is a measure for the regularity of a finite set...
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04/25/2023
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems
The domain of an optimization problem is seen as one of its most importa...
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03/08/2023
Towards Self-adaptive Mutation in Evolutionary Multi-Objective Algorithms
Parameter control has succeeded in accelerating the convergence process ...
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02/02/2023
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
Submodular functions play a key role in the area of optimization as they...
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11/14/2022
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve
Performing simulations with a realistic biophysical auditory nerve fiber...
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04/20/2022
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Per-instance algorithm selection seeks to recommend, for a given problem...
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04/13/2022
Trajectory-based Algorithm Selection with Warm-starting
Landscape-aware algorithm selection approaches have so far mostly been r...
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11/07/2021
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
We present IOHexperimenter, the experimentation module of the IOHprofile...
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04/16/2021
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
In this study, we analyze behaviours of the well-known CMA-ES by extract...
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02/25/2021