A collaborative interactive genetic algorithm framework for mixed-initiative interaction with human and simulated experts: A case study in long-term groundwater monitoring design

Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006

Volumn , Issue , 2007, Pages

  Babbar, Meghna ^a   Minsker, Barbara ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Algorithms; Case reports; Design; Ground water management; Monitoring

Indexed keywords

CASE REPORTS; COLLABORATIVE FRAMEWORK; DECISION MAKERS; ENVIRONMENTAL DECISIONS; EXPERT KNOWLEDGE; FIELD SCALE; FUZZY LOGIC MODELING; GROUNDWATER MANAGEMENT; GROUNDWATER MONITORING; HUMAN EXPERT; HUMAN FATIGUE; INTERACTIVE GENETIC ALGORITHM; LEARNING BEHAVIOR; MACHINE-LEARNING; MIXED-INITIATIVE INTERACTIONS; OPTIMIZATION PROCESS; RULE-BASED DECISION MAKING; SEARCH CRITERION;

ALGORITHMS; DECISION MAKING; DESIGN; FUZZY LOGIC; GROUNDWATER; GROUNDWATER RESOURCES; HUMAN ENGINEERING; LEARNING SYSTEMS; MONITORING; WATER MANAGEMENT;

COMPUTER SIMULATION;

EID: 84858597089     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40856(200)116     Document Type: Conference Paper

References (10)

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2. Babbar, M., (2006). "Interactive Genetic Algorithm: A Human-Computer Framework for Improving Groundwater Monitoring Designs", PhD thesis, in preparation.
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