Roman Kalkreuth

Orcid: 0000-0003-1449-5131

Affiliations:
  • Sorbonne University, Lip6, Paris, France
  • Leiden University, The Netherlands
  • Technical University of Dortmund, Germany (PhD 2021)


According to our database1, Roman Kalkreuth authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

A Functional Analysis Approach to Symbolic Regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files.
Dataset, May, 2023

Evolutionary Algorithms for Parameter Optimization - Thirty Years Later.
Evol. Comput., 2023

Challenges of ELA-Guided Function Evolution Using Genetic Programming.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Towards a General Boolean Function Benchmark Suite.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

General Boolean Function Benchmark Suite.
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

2022
Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Towards Phenotypic Duplication and Inversion in Cartesian Genetic Programming.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Graph-based genetic programming.
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.
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.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Reconsideration and extension of Cartesian genetic programming.
PhD thesis, 2021

Graph representations in genetic programming.
Genet. Program. Evolvable Mach., 2021

2020
A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

A study on graph representations for genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

On the Parameterization of Cartesian Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
On the Time Complexity of Simple Cartesian Genetic Programming.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Two New Mutation Techniques for Cartesian Genetic Programming.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

2018
Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming.
CoRR, 2018

A Comparative Study on Crossover in Cartesian Genetic Programming.
Proceedings of the Genetic Programming - 21st European Conference, 2018

2017
Parametrizing Cartesian Genetic Programming: An Empirical Study.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

An empirical study on the parametrization of cartesian genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A New Subgraph Crossover for Cartesian Genetic Programming.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015


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