Neal F. Wagner, Ph.D.

Affiliations: 
2005 University of North Carolina, Charlotte, Charlotte, NC, United States 
Area:
Computer Science, Artificial Intelligence, Commerce-Business Economics
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"Neal Wagner"

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Zbigniew Michalewicz grad student 2005 UNC Charlotte
 (Time series forecasting for non -static environments: The DyFor genetic program model.)
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Publications

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Damodaran SK, Wagner N. (2020) Modeling and simulation to support cyber defense The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 17: 3-4
Bouchard B, Bouchard K, Brown N, et al. (2018) Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence Ai Magazine. 39: 45-56
Anderson M, Barták R, Brownstein JS, et al. (2017) Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence Ai Magazine. 38: 72-82
Lightner-Laws CA, Agrawal V, Lightner CA, et al. (2016) An evolutionary algorithm approach for the constrained multi-depot vehicle routing problem International Journal of Intelligent Computing and Cybernetics. 9: 2-22
Wagner N, Agrawal V. (2014) An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster Expert Systems With Applications. 41: 2807-2815
Wagner N, Michalewicz Z, Schellenberg S, et al. (2011) Intelligent techniques for forecasting multiple time series in real-world systems International Journal of Intelligent Computing and Cybernetics. 4: 284-310
Wagner NF, Thompson MA. (2009) Forecasting the periodic net discount rate with genetic programming Journal of Business Valuation and Economic Loss Analysis. 4
Wagner N, Khouja M, Michalewicz Z, et al. (2008) Forecasting economic time series with the DyFor genetic program model Applied Financial Economics. 18: 357-378
Wagner N, Michalewicz Z, Khouja M, et al. (2007) Time series forecasting for dynamic environments: The DyFor genetic program model Ieee Transactions On Evolutionary Computation. 11: 433-452
Wagner N, Brauer J. (2007) Using Dynamic Forecasting Genetic Programming (Dfgp) To Forecast United States Gross Domestic Product (Us Gdp) With Military Expenditure As An Explanatory Variable Defence and Peace Economics. 18: 451-466
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