Date of Submission
Spring 2024
Academic Program
Computer Science
Project Advisor 1
Valerie Barr
Abstract/Artist's Statement
This thesis discusses the use of genetic algorithms to tune the parameters of a chess engine, resulting in a significant increase in playing strength. The design of the genetic algorithms builds on the 2008-2011 work of David-Tabibi et al. and Vázquez-Fernández et al. The overwhelmingly positive result presented in this thesis not only suggests a promising potential for genetic algorithm use to improve computer chess, but also supports the efficacy and potential of applying genetic algorithms to a broader set of use cases.
Open Access Agreement
Open Access
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Harris, Elliot M., "Applications of Genetic Algorithms to Chess" (2024). Senior Projects Spring 2024. 119.
https://digitalcommons.bard.edu/senproj_s2024/119
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