This report introduces the idea of Evolutionary Surrogate-Assisted Prescription (ESP) and presents preliminary results on its potential use in training real-world agents as a part of the 1st AI for Drinking Water Chlorination Challenge at IJCAI-2025. This work was done by a team from Project Resilience, an organization interested in bridging AI to real-world problems.

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arXiv:2508.19173 (2025).

@article{monsia:arxiv25, title={Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems}, author={Rivaaj Monsia and Olivier Francon and Daniel Young and Risto Miikkulainen}, journal={arXiv:2508.19173}, month={ }, url="http://www.cs.utexas.edu/users/ai-lab?monsia:arxiv25", year={2025} }