Abstract: Application of Meta-Heuristic Probabilistic Genetic Algorithms and Machine Learning Surrogate Models to Recognize Optimal Patterns of Green Stormwater Infrastructure Networks and Predict their Performance in Urban Watersheds (AGU Fall Meeting 2018)

Application of Meta-Heuristic Probabilistic Genetic Algorithms and Machine Learning Surrogate Models to Recognize Optimal Patterns of Green Stormwater Infrastructure Networks and Predict their Performance in Urban Watersheds

Bardia Heidari Haratmeh, University of Illinois at Urbana Champaign, Urbana, IL, United States; Southern Methodist University, Civil and Environmental Engineering, Dallas, TX, United States and Barbara E Minsker, Univ Illinois Urbana-Champaign, Dallas, United States

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