Authors:
Nicklow, John W. and Nicklow, John W. and Reed, Patrick M. and Reed, Patrick M. and SaviΔ‡, Dragan and Savic, Dragan and Dessalegne, Tibebe and Dessalegne, Tibebe and Dessalegne, Tibebe and Harrell, Laura J. and Harrell, Laura J. and Hilton, Amy B. Chan and Chan-Hilton, Amy and Chan-Hilton, Amy B. and Karamouz, β€Mohammad and Karamouz, Mohammad and Minsker, Barbara and Minsker, Barbara S. and Ostfeld, Avi and Ostfeld, Avi and Singh, Abhishek and Singh, Abhishek and Zechman, Emily M. and Zechman, Emily M. and Zechman, Emily M. and Zechman, Emily M.
Abstract:
During the last two decades, the water resources planning and management profession has seen a dramatic increase in the development and application of various types of evolutionary algorithms (EAs). This observation is especially true for application of genetic algorithms, arguably the most popular of the several types of EAs. Generally speaking, EAs repeatedly prove to be flexible and powerful tools in solving an array of complex water resources problems. This paper provides a comprehensive review of state-of-the-art methods and their applications in the field of water resources planning and management. A primary goal in this ASCE Task Committee effort is to identify in an organized fashion some of the seminal contributions of EAs in the areas of water distribution systems, urban drainage and sewer systems, water supply and wastewater treatment, hydrologic and fluvial modeling, groundwater systems, and parameter identification. The paper also identifies major challenges and opportunities for the future, ...
