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Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems

Neural and Evolutionary Computing 2025-08-27 v1 Machine Learning
Authors: Rivaaj Monsia , Olivier Francon , Daniel Young , Risto Miikkulainen
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Abstract

This short, written 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.

Cite

@article{arxiv.2508.19173,
  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 preprint arXiv:2508.19173},
  year   = {2025}
}

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