843 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Delft University of TechnologyNL35 papers
- Leiden UniversityNL29 papers
- Centrum Wiskunde & InformaticaNL13 papers
- University Medical Center UtrechtNL13 papers
- Utrecht UniversityNL11 papers
- Amsterdam University Medical CentersNL9 papers
- Radboud University NijmegenNL9 papers
- University of AmsterdamNL9 papers
- University of TwenteNL9 papers
- Erasmus MCNL8 papers
- University College LondonGB8 papers
- Eindhoven University of TechnologyNL7 papers
6 papers · 1 filter
Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression
Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman
Genetic programming (GP) approaches are among the state-of-the-art for symbolic regression, the task of constructing symbolic expressions that fit well with data. To find highly ac…
More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA
Renzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman
The Gene-pool Optimal Mixing EA (GOMEA) family of EAs offers a specific means to exploit problem-specific knowledge through linkage learning, i.e., inter-variable dependency detect…
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
C. J. Rodriguez, S. L. Thomson, T. Alderliesten +1
Many real-world problems have expensive-to-compute fitness functions and are multi-objective in nature. Surrogate-assisted evolutionary algorithms are often used to tackle such pro…
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
Arthur Guijt, Dirk Thierens, Tanja Alderliesten +1
Traditional approaches to neuroevolution often start from scratch. This becomes prohibitively expensive in terms of computational and data requirements when targeting modern, deep…
Heed the Noise in Performance Evaluations in Neural Architecture Search
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Neural Architecture Search (NAS) has recently become a topic of great interest. However, there is a potentially impactful issue within NAS that remains largely unrecognized: noise.…
Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions
Marco Virgolin, Tanja Alderliesten, Cees Witteveen +1
The Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) is a model-based EA framework that has been shown to perform well in several domains, including Genetic Programming (GP)…