{"ID":2878196,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.19173","arxiv_id":"2508.19173","title":"Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems","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.","short_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,...","url_abs":"https://arxiv.org/abs/2508.19173","url_pdf":"https://arxiv.org/pdf/2508.19173v1","authors":"[\"Rivaaj Monsia\",\"Olivier Francon\",\"Daniel Young\",\"Risto Miikkulainen\"]","published":"2025-08-26T16:22:40Z","proceeding":"cs.NE","tasks":"[\"cs.NE\",\"cs.LG\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}