Genetic Programming: A Tutorial Introduction
Name
3377929.3389882.pdf
Size
983.77 KB
Format
Adobe PDF
Checksum (MD5)
4de2446dfffc6e510b70543e919f613c
Author(s)
O'Reilly, Una-May
Hemberg, Erik
Date Issued
July 8, 2020
Publisher
Association for Computing Machinery
Citation
Una-May O'Reilly and Erik Hemberg. 2020. Genetic programming: a tutorial introduction. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO '20). Association for Computing Machinery, New York, NY, USA, 512–525.
Version
Final published version
Abstract
Tutorial Goals
• Introduction to GP algorithm, given some knowledge
of genetic algorithms or evolutionary strategies
– provide Black box demonstration of GP symbolic regression
• Become familiar with GP design properties and
recognize them
– ponygp in python
• You could teach it in an undergrad lecture
• Use it out of the box
• Set groundwork for advanced topics
– Theory, other tutorials
– Specialized workshops (Genetic improvement etc)
– GP Track talks at GECCO, Proceedings of EuroGP, Genetic Programming and Evolvable Machines
Description
GECCO '20 Companion, July 8–12, 2020, Cancún, Mexico
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3377929.3389882
