Dirk Schweim

Orcid: 0000-0002-8629-0285

According to our database1, Dirk Schweim authored at least 15 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms.
IEEE Trans. Evol. Comput., February, 2023

Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

The Influence of Probabilistic Grammars on Evolution.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
On sampling error in genetic programming.
Nat. Comput., 2022

Program synthesis with evolutionary algorithms: Status quo: hot off the press track (GECCO 2022).
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Exploiting Knowledge from Code to Guide Program Search.
Proceedings of the Genetic Programming - 25th European Conference, 2022

Effects of the Training Set Size: A Comparison of Standard and Down-Sampled Lexicase Selection in Program Synthesis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
On sampling error and bias in evolutionary algorithms.
PhD thesis, 2021

Recent Developments in Program Synthesis with Evolutionary Algorithms.
CoRR, 2021

On sampling error in evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

On the Influence of Grammars on Crossover in Grammatical Evolution.
Proceedings of the Genetic Programming - 24th European Conference, 2021

2020
DAE-GP: denoising autoencoder LSTM networks as probabilistic models in estimation of distribution genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2018
An analysis of the bias of variation operators of estimation of distribution programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Non-uniform Redundancy of Representations for Grammatical Evolution: The Influence of Grammars.
Proceedings of the Handbook of Grammatical Evolution, 2018


  Loading...