Genetic Programming Theory & Practice XVIII

GPTP 2021 is held online - Please use Zoom to join in

Important Dates

  • April 26, 2021: First drafts of book chapters should be submitted. These need not be formatted, but should be more substantial than an abstract and suitable for preliminary review by your colleagues.
  • April 28, 2021: Review assignments will be provided.
  • May 19-21, 2021: Workshop, presentations, and discussions.

Presentations

All presentations and interactions will be online through a Zoom link that will be sent to participants by email.

There are three invited keynote lectures, one at the beginning of each of the three days of the workshop. Keynotes will be scheduled for one hour each, with some leeway for adding time for questions and discussion.

Presentations by workshop attendees will be scheduled for 10 minutes each, with an additional 5 minutes time for discussion immediately following.

Most time this year has been set aside for group discussions, detailed followups on speakers’ topics, and panels.

Due to the online character of the 2021 GPTP Workshop, days will run only from 12 noon to 5 pm EDT. If you are joining from another time zone, please take note of the time difference!

Proceedings Volume

  • May 15, 2021: In order to minimize delays with the book coming out of the workshop, we ask contributors to provide their friendly review in writing to the authors of papers they reviewed.
  • August 1, 2021: Revised papers are due.
  • September 1, 2021: Submission to Springer Production
  • February 1, 2022: Anticipated date of publication of the volume

Formatting Instructions for Authors

The GPTP 2021 formatting instructions are similar to those of earlier editions: We shall work with Springer LaTeX templates. The instructions can be found here.

Keynote Talks

Randolph Nesse Research Professor of Life Sciences, and Founding Director (2014-2019), The Center for Evolution and Medicine, Arizona State University: “Why Evolved Systems Fail and the Mystery of Health - The Perspective of Evolutionary Medicine”

Elizabeth Barnes, Associate Professor, Dept. of Atmospheric Science, Colorado State University: “Viewing Anthropogenic Change Through an AI Lens”

David Andre, Science Officer, Google-X: “GP considered Dangerous”

Regular Presentations

W.B. Langdon, Professor, Dept. of Computer Science, University College London: “Fitness First”

Andrew Sloss, Senior Principal Research Engineer, ARM Inc.: “Evolution of the Semiconductor Industry, and the Start of X Law”

Julian Miller, Honorary Fellow, The University of York: “Designing Multiple ANNs with Evolutionary Development: Activity Dependence”

Michael Korns, Korns Associates: “Feature Discovery with Deep Learning Algebra Networks”

Charles Ofria, Professor, Michigan State University: “An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality”

Malcolm Heywood, Professor, Dalhousie University: “Accelerating Tangled Program Graph Evolution under Visual Reinforcement Learning Tasks with Mutation and Multi-actions”

Philipp Fleck, PhD Student, FH Hagenberg: “Grammar-based Vectorial Genetic Programming for Symbolic Regression”

Alcides Fonseca, Assistant Prof, LASIGE, University of Lisbon: “Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming”

Lee Spector, Professor, Hampshire College: “Analysis of GLEAM: Genetic Learning by Extraction and Absorption of Modules”

Emily Dolson, Assistant Prof, MSU: “What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?”

Mark Kotanchek Evolved Analytics LLC: “Back to the Future: Revisiting OrdinalGP & Trustable Models after a Decade”

Gisele Pappa, Associate Prof, Federal University of Minas Gerais: “Fitness Landscape Analysis of AutoML Pipelines”

Moshe Sipper, Professor, Ben-Gurion University: “Four Weddings and a Numeral: A Song of Evolution and Learning”

Jason Moore, Professor, Director of Penn Institute for Biomedical Informatics, University of Pennsylvania: “Automated machine learning using genetic programming”

Nic McPhee, Professor, University of Minnesota, Morris: “Dynamically generating GP training cases using QuickCheck”

modified: 05/17/21