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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Vydané v:Water resources research Ročník 53; číslo 5; s. 4303 - 4326
Hlavní autori: Piemonti, Adriana Debora, Babbar‐Sebens, Meghna, Mukhopadhyay, Snehasis, Kleinberg, Austin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Washington John Wiley & Sons, Inc 01.05.2017
Predmet:
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
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Shrnutí: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 fields, there is a critical lack of data and analyses on (a) the nature of interactions of different humans with interfaces of decision support systems (DSS) that employ IGA in water resources planning problems and on (b) the effect of human feedback on the algorithm's ability to search for design alternatives desirable to end‐users. In this paper, we present results and analyses of observational experiments in which different human participants (surrogates and stakeholders) interacted with an IGA‐based, watershed DSS called WRESTORE to identify plans of conservation practices in a watershed. The main goal of this paper is to evaluate how the IGA adapts its search process in the objective space to a user's feedback, and identify whether any similarities exist in the objective space of plans found by different participants. Some participants focused on the entire watershed, while others focused only on specific local subbasins. Additionally, two different hydrology models were used to identify any potential differences in interactive search outcomes that could arise from differences in the numerical values of benefits displayed to participants. Results indicate that stakeholders, in comparison to their surrogates, were more likely to use multiple features of the DSS interface to collect information before giving feedback, and dissimilarities existed among participants in the objective space of design alternatives. Key Points Observational experiments with an online interactive genetic algorithm and real humans were conducted for conservation planning User behavior on the web interface was used to identify the quality of user‐provided data guiding the IGA Similarities and dissimilarities were found in the objective space of plans generated by participants with varying interests
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ISSN:0043-1397
1944-7973
DOI:10.1002/2016WR019987