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Preprint Oct 2026

The Modular CMA-ES: A Framework for Modern Evolution Strategies

Since their introduction, modern evolution strategies, such as the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), have become established as powerful methods for continuous black-box optimization. This success has led to a wide range of proposed modifications, each designed to improve performance or behavior...

J. de Nobel, D. Vermetten, Anna V. Kononova et al. · 0 citations
Jul 2026

Unsupervised Multi-kernel Learning for Automated Algorithm Selection

Multi-kernel clustering over heterogeneous landscape representations obtains the strongest mean profile on the DE portfolio and remains competitive with, and nominally ahead of, the leading baselines on the more compressed PSO portfolio, where differences among the best methods are small relative to stochastic variatio...

Yi-Hang Lu, T. Eftimov, C. Doerr · 0 citations

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