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LOG // CI
Prof. Dr.
Oliver Kramer
Professor of Computational Intelligence · University of Oldenburg
> We develop computational intelligence methods that connect evolutionary optimization, learning, cognition, and AI in application areas like computational biology.
01_evolutionary_projects
EvoLabEVOLUTION STRATEGIES STUDIO [EXPLORE]Interactive studio for evolution strategies on ten classic benchmarks — tune population, selection, recombination, and step size while the search unfolds.
MolEvolver LabEVOLVING MOLECULES [REPO]Evolves a molecule to match a pharmacophore you place in 3D, searching a library of 10,150 synthesis-constrained compounds right in the browser.
Machine Learning with Evolution StrategiesEVOLUTIONARY MACHINE LEARNING [COLAB]Hands-on Colab course: SVM, MLP, clustering, and CNNs written from scratch in NumPy and trained with one derivative-free optimizer — the (1+1)-ES.02_teaching
Introduction to Artificial IntelligenceLECTURE SCRIPT [PDF]Scripted lecture from k-nearest neighbors and k-means through convolutional networks, attention, and large language models — each chapter with worked examples, exercises, and Colab notebooks.
Tiny TransformerINTERACTIVE EXPLAINER [INTERACTIVE]A tiny transformer opened up live in the browser — tokenization, attention and sampling explained step by step.
Cognitive BASICREASONING LANGUAGE [MEDIUM]A short Medium introduction to Cognitive BASIC — cognitive operations written as program lines that turn prompting into an explicit, inspectable procedure.03_selected_publications
- Linear Evaluation Complexity of Surrogate-Assisted (1+1)-EA on OneMaxESANN 2026 [2026]
- Adaptive Search in Collatz Exponent-Code Space via 2-adic and 3-adic ConstraintsCoRR abs/2607.10041 [2026]
- An LLM-Based Multi-Agent Framework for Evolutionary Blackbox OptimizationGECCO Companion 2025: 671–674 [2025]
- Enhancing Evolutionary Algorithms Through Meta-Evolution StrategiesIEEE CAI 2025: 1292–1297 [2025]
- LLaMA Tunes CMA-ESESANN 2024 [2024]
04_books
2026Artificial Intelligence Essentials[SPRINGER]
2017Genetic Algorithm Essentials[SPRINGER]
2016Machine Learning for Evolution Strategies[SPRINGER]
2014A Brief Introduction to Continuous Evolutionary Optimization[SPRINGER]
2013Dimensionality Reduction with Unsupervised Nearest Neighbors[SPRINGER]
2009Computational Intelligence[SPRINGER]
2008Self-Adaptive Heuristics for Evolutionary Computation[SPRINGER]
05_misc
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