Tiebreaks and Diversity: Isolating Effects in Lexicase Selection


A primary goal of evolutionary robotics (ER) is generalized control. That is, a robot controller should be capable of solving a variety of tasks in a domain, rather than only addressing specific instances of a task. Prior work has shown that Lexicase selection is more effective than other evolutionary algorithms for a wall crossing task domain where quadrupedal animats are evaluated on walls of varying height. In this work we expand baseline treatments in this task domain and examine specific aspects of the Lexicase selection algorithm across a variety of different parameter configurations. We identify the most effective Lexicase parameters for this task. Results indicate that Lexicase’s success is potentially due to maintaining population diversity at a higher level than other algorithms explored for this domain.

Publication DOI: https://doi.org/10.1162/isal_a_00109
Additional Information: © 2018 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Event Title: 2018 Conference on Artificial Life
Event Type: Other
Event Dates: 2018-07-23 - 2018-07-27
Last Modified: 26 Dec 2023 09:50
Date Deposited: 12 Sep 2022 16:31
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Related URLs: https://machine ... e2018-final.pdf (Author URL)
https://direct. ... e2018/590/99603 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2018-07-01
Authors: Moore, Jared M.
Stanton, Adam



Version: Published Version

License: Creative Commons Attribution

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