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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
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