no code implementations • 16 Feb 2023 • Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar
This way we aim to provide methods for the comparison of PCG approaches and eventually, increase the quality and practicality of generated content in industry.
no code implementations • 22 Jun 2022 • Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich
More specifically, in this paper, a heuristic weight optimization, used in a preceding conference paper, is replaced by an exact optimization algorithm using convex quadratic programming.
no code implementations • 2 Jun 2021 • Matthias Groß, Dietlind Zühlke, Boris Naujoks
The second part of this paper then refers to the actual speedrun routing optimization problem.
no code implementations • 11 Nov 2020 • Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tušar
Optimisation algorithms are commonly compared on benchmarks to get insight into performance differences.
no code implementations • 7 Jul 2020 • Thomas Bartz-Beielstein, Carola Doerr, Daan van den Berg, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, William La Cava, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
This survey compiles ideas and recommendations from more than a dozen researchers with different backgrounds and from different institutes around the world.
no code implementations • 6 Jul 2020 • Vanessa Volz, Boris Naujoks
While games have been used extensively as milestones to evaluate game-playing AI, there exists no standardised framework for reporting the obtained observations.
no code implementations • 14 Apr 2020 • Koen van der Blom, Timo M. Deist, Tea Tušar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
This work aims to identify properties of real-world problems through a questionnaire on real-world single-, multi-, and many-objective optimization problems.
1 code implementation • 9 Jan 2020 • Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
Few results from the literature show evidence, that under certain conditions, expected improvement may perform worse than something as simple as the predicted value of the surrogate model.
no code implementations • 1 Nov 2016 • Vanessa Volz, Günter Rudolph, Boris Naujoks
In this paper, we propose a novel approach (SAPEO) to support the survival selection process in multi-objective evolutionary algorithms with surrogate models - it dynamically chooses individuals to evaluate exactly based on the model uncertainty and the distinctness of the population.
no code implementations • 11 Mar 2016 • Vanessa Volz, Günter Rudolph, Boris Naujoks
In this paper, the feasibility of automatic balancing using simulation- and deck-based objectives is investigated for the card game top trumps.