109 citations · 277 across the 52 of their papers we have counts for
6 papers · 1 filter
The Modular CMA-ES: A Framework for Modern Evolution Strategies
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova +2
Since their introduction, modern evolution strategies, such as the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), have become established as powerful methods for continu…
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…
On the Influence of the Feature Computation Budget on Per-Instance Algorithm Selection for Black-Box Optimization
Koen van der Blom, Diederick Vermetten
Per-instance algorithm selection (PIAS) takes advantage of complementarity between a set of algorithms by deciding which algorithm to run on a given instance. This decision is base…
Similarity-based Portfolio Construction for Black-box Optimization
Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr
In black-box optimization, a central question is which algorithm to use to solve a given, previously unseen, problem. Selecting a single algorithm, however, entails inherent risks:…
Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
Diederick Vermetten, Jeroen Rook
Benchmark problems are an important tool for gaining understanding of optimization algorithms. Since algorithms often aim to perform well on benchmarks, biases in benchmark design…
How Sequential Algorithm Portfolios can benefit Black Box Optimization
Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr
In typical black-box optimization applications, the available computational budget is often allocated to a single algorithm, typically chosen based on user preference with limited…