Moore, JM and Stanton, A (2018) Tiebreaks and Diversity: Isolating Effects in Lexicase Selection. In: ALIFE: The 2018 Conference on Artifical Life, 23-28 Jul 2018, Tokyo. (In Press)

05062018b_moore-stanton-alife2018-final.pdf - Accepted Version

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Maths
Depositing User: Symplectic
Date Deposited: 08 Jun 2018 11:13
Last Modified: 23 Jul 2018 15:38

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