Roman Kalkreuth

According to our database, Roman Kalkreuth authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

A Functional Analysis Approach to Symbolic Regression.

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova

CoRR, 2024

2023

Evolutionary Algorithms for Parameter Optimization - Thirty Years Later.

Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye

Evol. Comput., 2023

Challenges of ELA-Guided Function Evolution Using Genetic Programming.

Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Towards a General Boolean Function Benchmark Suite.

Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

General Boolean Function Benchmark Suite.

Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

2022

Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming.

Roman Kalkreuth

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Towards Phenotypic Duplication and Inversion in Cartesian Genetic Programming.

Roman Kalkreuth

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Graph-based genetic programming.

Roman Kalkreuth, Léo Françoso Dal Piccol Sotto, Zdenek Vasícek

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Phenotypic duplication and inversion in cartesian genetic programming applied to boolean function learning.

Roman Kalkreuth

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer.

Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Reconsideration and extension of Cartesian genetic programming.

Roman Kalkreuth

PhD thesis, 2021

Graph representations in genetic programming.

Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp

Genet. Program. Evolvable Mach., 2021

2020

A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming.

Roman Kalkreuth

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

A study on graph representations for genetic programming.

Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

On the Parameterization of Cartesian Genetic Programming.

Paul Kaufmann, Roman Kalkreuth

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

On the Time Complexity of Simple Cartesian Genetic Programming.

Roman Kalkreuth, Andre Droschinsky

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Two New Mutation Techniques for Cartesian Genetic Programming.

Roman Kalkreuth

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

2018

Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming.

Roman Kalkreuth

CoRR, 2018

A Comparative Study on Crossover in Cartesian Genetic Programming.

Jakub Husa, Roman Kalkreuth

Proceedings of the Genetic Programming - 21st European Conference, 2018

2017

Parametrizing Cartesian Genetic Programming: An Empirical Study.

Paul Kaufmann, Roman Kalkreuth

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

An empirical study on the parametrization of cartesian genetic programming.

Paul Kaufmann, Roman Kalkreuth

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A New Subgraph Crossover for Cartesian Genetic Programming.

Roman Kalkreuth, Günter Rudolph, Andre Droschinsky

Proceedings of the Genetic Programming - 20th European Conference, 2017

2016

More efficient evolution of small genetic programs in Cartesian Genetic Programming by using genotypie age.

Roman Kalkreuth, Günter Rudolph, Jörg Krone

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection.

Roman Kalkreuth, Günter Rudolph, Jörg Krone

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015