Theoretical Limits on the Success of Lexicase Selection Under Contradictory Objectives-Reference-Cited by-同舟云学术

Theoretical Limits on the Success of Lexicase Selection Under Contradictory Objectives

Published:2023-07-15 Issue: Volume: Page:
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Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
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Author:

Shahbandegan Shakiba¹^ORCID,Dolson Emily²^ORCID

Affiliation:

1. Computer Science and Engineering, Michigan State University, East Lansing, Michgian, United States of America

2. Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3590714

Reference15 articles.

1. Lexicase selection in learning classifier systems

2. Li Ding and Lee Spector . 2022 . Optimizing Neural Networks with Gradient Lexicase Selection. In International Conference on Learning Representations. https://openreview.net/forum?id=J_2xNmVcY4 Li Ding and Lee Spector. 2022. Optimizing Neural Networks with Gradient Lexicase Selection. In International Conference on Learning Representations. https://openreview.net/forum?id=J_2xNmVcY4

3. Emily Dolson , Wolfgang Banzhaf , and Charles Ofria . 2018. Applying Ecological Principles to Genetic Programming . In Genetic Programming Theory and Practice XV, Wolfgang Banzhaf, Randal S. Olson, William Tozier, and Rick Riolo (Eds.). Springer International Publishing , Cham , 73--88. Emily Dolson, Wolfgang Banzhaf, and Charles Ofria. 2018. Applying Ecological Principles to Genetic Programming. In Genetic Programming Theory and Practice XV, Wolfgang Banzhaf, Randal S. Olson, William Tozier, and Rick Riolo (Eds.). Springer International Publishing, Cham, 73--88.

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1. On the robustness of lexicase selection to contradictory objectives;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14