Interactive genetic algorithm for user‐centered design of distributed conservation practices in a watershed: An examination of user preferences in objective space and user behavior

Interactive Genetic Algorithms (IGA) are advanced human‐in‐the‐loop optimization methods that enable humans to give feedback, based on their subjective and unquantified preferences and knowledge, during the algorithm's search process. While these methods are gaining popularity in multiple field...

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Veröffentlicht in:	Water resources research Jg. 53; H. 5; S. 4303 - 4326
Hauptverfasser:	Piemonti, Adriana Debora, Babbar‐Sebens, Meghna, Mukhopadhyay, Snehasis, Kleinberg, Austin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Washington John Wiley & Sons, Inc 01.05.2017
Schlagworte:	Algorithms Analogies Artificial intelligence Conservation conservation planning Conservation practices Data processing Decision support systems Design Design analysis Design engineering Feedback Fields Genetic algorithms Human behavior Human performance humans human‐computer interaction Hydrologic models Hydrology Immunoglobulin A Interactions interactive genetic algorithm Interfaces Mathematical models Optimization Search methods Search process Searching stakeholders User behavior water Water resources Water resources planning watershed Watersheds
ISSN:	0043-1397, 1944-7973
Online-Zugang:	Volltext
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