


default search action
GPTP 2021
- Wolfgang Banzhaf

, Leonardo Trujillo, Stephan Winkler, Bill Worzel:
Genetic Programming Theory and Practice XVIII [GPTP 2021]. Springer 2022, ISBN 978-981-16-8112-7 - Caleidgh Bayer, Ryan Amaral, Robert J. Smith

, Alexandru Ianta, Malcolm I. Heywood:
Finding Simple Solutions to Multi-Task Visual Reinforcement Learning Problems with Tangled Program Graphs. 1-19 - Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:

Grammar-Based Vectorial Genetic Programming for Symbolic Regression. 21-43 - Alcides Fonseca

, Paulo Santos, Guilherme Espada, Sara Silva
:
Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming. 45-62 - Jose Guadalupe Hernandez, Alexander Lalejini

, Emily L. Dolson
:
What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? 63-82 - Jose Guadalupe Hernandez, Alexander Lalejini

, Charles Ofria:
An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality. 83-107 - Michael F. Korns:

Feature Discovery with Deep Learning Algebra Networks. 109-127 - Mark E. Kotanchek, Nathan Haut:

Back to the Future - Revisiting OrdinalGP and Trustable Models After a Decade. 129-142 - William B. Langdon:

Fitness First. 143-164 - Julian Francis Miller:

Designing Multiple ANNs with Evolutionary Development: Activity Dependence. 165-180 - Anil Kumar Saini, Lee Spector:

Evolving and Analyzing Modularity with GLEAM (Genetic Learning by Extraction and Absorption of Modules). 181-195 - Andrew N. Sloss:

Evolution of the Semiconductor Industry, and the Start of X Law. 197-209

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














