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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Bibliographic Details
Published in:	Water resources research Vol. 53; no. 5; pp. 4303 - 4326
Main Authors:	Piemonti, Adriana Debora, Babbar‐Sebens, Meghna, Mukhopadhyay, Snehasis, Kleinberg, Austin
Format:	Journal Article
Language:	English
Published:	Washington John Wiley & Sons, Inc 01.05.2017
Subjects:	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 Access:	Get full text
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