Created by W.Langdon from gp-bibliography.bib Revision:1.8010
The paper compares the proposed method on six challenging symbolic regression problems with both standard GP and GP with an effective bloat control method. The results demonstrated that the proposed asynchronous parallel GP (APGP) indeed produces individuals that are smaller, faster and more accurate than those in standard GP. While GP with bloat control (GP+BC) produced smaller individuals, it did so at the cost of lower accuracy than APGP both on training and test data, thus questioning the overall benefits of bloat control. Also, while APGP took the fewest evaluations to match the training accuracy of GP, GP+BC took the most.
These results, and the portability of evaluation time as an estimate of complexity encourage further experimentation and fine-tuning of this hitherto unexplored style of GP.",
Birmingham City University, UK
https://www.sigapp.org/sac/sac2020/program.html",
Genetic Programming entries for Aliyu Sani Sambo R Muhammad Atif Azad Yevgeniya Kovalchuk Vivek Padmanaabhan Indramohan Hanifa Shah