Alexander Hagg

According to our database, Alexander Hagg authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Open-Source Machine Learning in Computational Chemistry.

Alexander Hagg, Karl N. Kirschner

J. Chem. Inf. Model., August, 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., April, 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

On the Suitability of Representations for Quality Diversity Optimization of Shapes.

Ludovico Scarton, Alexander Hagg

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2021

Phenotypic Niching Using Quality Diversity Algorithms.

Alexander Hagg

Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

Expressivity of parameterized and data-driven representations in quality diversity search.

Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Designing Air Flow with Surrogate-Assisted Phenotypic Niching.

Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Deep Dive Into Exploring the Preference Hypervolume.

Alexander Hagg, Alexander Asteroth, Thomas Bäck

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

An Analysis of Phenotypic Diversity in Multi-solution Optimization.

Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

2019

Prediction of neural network performance by phenotypic modeling.

Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Modeling user selection in quality diversity.

Alexander Hagg, Alexander Asteroth, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Prototype Discovery Using Quality-Diversity.

Alexander Hagg, Alexander Asteroth, Thomas Bäck

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

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

Evolving parsimonious networks by mixing activation functions.

Alexander Hagg, Maximilian Mensing, Alexander Asteroth

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Hierarchical surrogate modeling for illumination algorithms.

Alexander Hagg

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities.

Alexander Hagg, Frederik Hegger, Paul-Gerhard Plöger

Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

2015

Successive evolution of charging station placement.

Helge Spieker, Alexander Hagg, Alexander Asteroth, Stefanie Meilinger, Volker Jacobs, Alexander Oslislo

Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

How to successfully apply genetic algorithms in practice: Representation and parametrization.

Alexander Asteroth, Alexander Hagg

Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015