爆走黑料

This project will explore how different selection methods in Genetic Programming (GP)鈥攁 technique that automatically generates computer programs to solve problems鈥攃an enhance the development of accurate, efficient, and understandable AI models. Specifically, it will compare Pareto tournament selection, 蔚-lexicase selection, and down-sampled tournament selection to determine which best balances solution quality, computational cost, and model simplicity across various datasets and conditions. The successful applicant will work with leading researchers in the field: Professor Bing Xue, Dr. Qi Chen, and Professor Mengjie Zhang. The expected outcomes are a comprehensive analysis of the operators, a set of program codes for experiments, and a final report or conference paper suitable for publication.