How to successfully apply genetic algorithms in practice: Representation and parametrization. - Alexander Asteroth; Alexander Hagg (INISTA, 2015)

Successive evolution of charging station placement. - Helge Spieker; Alexander Hagg; Alexander Asteroth; Stefanie Meilinger; Volker Jacobs; Alexander Oslislo (INISTA, 2015)

On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities. - Alexander Hagg; Frederik Hegger; Paul-Gerhard Plöger (RoboCup, 2016)

Hierarchical surrogate modeling for illumination algorithms. - Alexander Hagg (GECCO (Companion), 2017)

Evolving parsimonious networks by mixing activation functions. - Alexander Hagg; Maximilian Mensing; Alexander Asteroth (GECCO, 2017)

Multi-stage evolution of single- and multi-objective MCLP - Successive placement of charging stations. - Helge Spieker; Alexander Hagg; Adam Gaier; Stefanie Meilinger; Alexander Asteroth (Soft Comput., 2017)

Prototype Discovery Using Quality-Diversity. - Alexander Hagg; Alexander Asteroth; Thomas Bäck (PPSN (1), 2018)

Modeling user selection in quality diversity. - Alexander Hagg; Alexander Asteroth; Thomas Bäck (GECCO, 2019)

Prediction of neural network performance by phenotypic modeling. - Alexander Hagg; Martin Zaefferer; Jörg Stork; Adam Gaier (GECCO (Companion), 2019)

An Analysis of Phenotypic Diversity in Multi-solution Optimization. - Alexander Hagg; Mike Preuss; Alexander Asteroth; Thomas Bäck (BIOMA, 2020)

A Deep Dive Into Exploring the Preference Hypervolume. - Alexander Hagg; Alexander Asteroth; Thomas Bäck (ICCC, 2020)

Designing Air Flow with Surrogate-Assisted Phenotypic Niching. - Alexander Hagg; Dominik Wilde; Alexander Asteroth; Thomas Bäck (PPSN (1), 2020)

Expressivity of parameterized and data-driven representations in quality diversity search. - Alexander Hagg; Sebastian Berns; Alexander Asteroth; Simon Colton; Thomas Bäck (GECCO, 2021)

Phenotypic Niching Using Quality Diversity Algorithms. - Alexander Hagg (Metaheuristics for Finding Multiple Solutions, 2021)

On the Suitability of Representations for Quality Diversity Optimization of Shapes. - Ludovico Scarton; Alexander Hagg (GECCO, 2023)

Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-Optimization. - Alexander Hagg; Martin L. Kliemank; Alexander Asteroth; Dominik Wilde; Mario Christopher Bedrunka; Holger Foysi; Dirk Reith (Evol. Comput., 2023)

Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization. - Max Müller; Alexander Hagg; Robin Strickstrock; Marco Hülsmann; Alexander Asteroth; Karl N. Kirschner; Dirk Reith (J. Chem. Inf. Model., 2023)

Open-Source Machine Learning in Computational Chemistry. - Alexander Hagg; Karl N. Kirschner (J. Chem. Inf. Model., 2023)

Full Domain Analysis in Fluid Dynamics. - Alexander Hagg; Adam Gaier; Dominik Wilde; Alexander Asteroth; Holger Foysi; Dirk Reith (CoRR, 2025)