109 citations · 370 across the 14 of their papers we have counts for
12 papers · 1 filter
Integer Natural Evolution Strategies
Jacob de Nobel, Diederick Vermetten, Hao Wang +3
While contemporary Evolution Strategies handle integer optimization problems effectively, their adaptation mechanism is grounded in -based Gaussian models, which are not na…
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
Jacob de Nobel, Furong Ye, Diederick Vermetten +3
We present IOHexperimenter, the experimentation module of the IOHprofiler project, which aims at providing an easy-to-use and highly customizable toolbox for benchmarking iterative…
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance
Furong Ye, Carola Doerr, Hao Wang +1
Finding the best configuration of algorithms' hyperparameters for a given optimization problem is an important task in evolutionary computation. We compare in this work the results…
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution
Rick Boks, Anna V. Kononova, Hao Wang
Constraint handling is one of the most influential aspects of applying metaheuristics to real-world applications, which can hamper the search progress if treated improperly. In thi…
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…