Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866912555499257856 |
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| author | Monsia, Rivaaj Francon, Olivier Young, Daniel Miikkulainen, Risto |
| author_facet | Monsia, Rivaaj Francon, Olivier Young, Daniel Miikkulainen, Risto |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_19173 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems Monsia, Rivaaj Francon, Olivier Young, Daniel Miikkulainen, Risto Neural and Evolutionary Computing Machine Learning 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. |
| title | Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems |
| topic | Neural and Evolutionary Computing Machine Learning |
| url | https://arxiv.org/abs/2508.19173 |