Neal Wagner

Wagner, N. and Agrawal, V., Using an Evolutionary Algorithm to Solve the Weighted View Materialisation Problem for Data Warehouses, International Journal of Intelligent Information and Database Systems, Vol. 7, No. 2, 2013, pp. 163-179.

Schellenberg, S., Mohais, A., Ibrahimov, M., Wagner, N., and Michalewicz, Z., A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision Support in Supply Chain Networks, Chapter 5 in Chiong, R., Weise, T., and Michalewicz, Z., Editors, Variants of Evolutionary Algorithms for Real-World Applications, Springer-Verlag, Berlin, 2012, pp. 143-166.

Mohais, A., Schellenberg, S., Ibrahimov, M., Wagner, N., and Michalewicz, Z., An Evolutionary Approach to Practical Constraints in Scheduling: A Case-Study of the Wine Bottling Problem, Chapter 2 in Chiong, R., Weise, T., and Michalewicz, Z., Editors, Variants of Evolutionary Algorithms for Real-World Applications, Springer-Verlag, Berlin, 2012, pp. 31-58.

Wagner, N., DiRenzo, J., and Maule, B., Resource Allocation Optimization in Alien Migration Interdiction Operations Using an Evolutionary Algorithm Technique, The 2012 USCG/CREATE Maritime Risk Symposium, Los Angeles, CA, November 14-16, 2012.

Wagner, N. and Agrawal, V., Emergency Decision Support Using an Agent-based Modeling Approach, The 2012 IEEE International Conference on Intelligence and Security Informatics, Washington, DC, June 11-14, 2012.

Wagner, N., Michalewicz, Z., Schellenberg, S., Chiriac, C., and Mohais, A., Intelligent Techniques for Forecasting Multiple Time Series in Real-World Systems, International Journal of Intelligent Computing and Cybernetics, Vol. 4, No. 3, 2011, pp. 284-310.

Ibrahimov, M., Wagner, N., Mohais, A., Schellenberg, S., and Michalewicz, Z., Comparison of Cooperative and Classical Evolutionary Algorithms for Global Supply Chain Optimisation, The 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 18-23, 2010.

Mohais, A., Schellenberg, S., Ibrahimov, M., Wagner, N., and Michalewicz, Z., Time-Varying Constraints and Other Practical Problems in Real-World Scheduling Applications, The 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 18-23, 2010.

Schellenberg, S., Mohais, A., Wagner, N., Ibrahimov, M., and Michalewicz, Z., Optimising Supply Chain Networks by means of a Hybridised Simulation-Based Approach, The 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 18-23, 2010.

Wagner, N. and Thompson, M., Forecasting the Periodic Net Discount Rate with Genetic Programming, Journal of Business Valuation and Economic Loss Analysis, Vol. 4, Iss. 1, 2009.

Wagner, N. and Michalewicz, Z., Adaptive and Self-Adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments, Chapter 1 in Abraham, A., Hassanien, A., Carvalho A., Editors, Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining, Springer-Verlag, Berlin, 2009, pp. 3-21.

Michalewicz, Z., Ibrahimov, M., Schellenberg, S., Mohais, A., and Wagner, N., Application of Evolutionary Methods for Complex Industrial Problems, EUROGEN 2009, Cracow, Poland, June 15-17, 2009.

Wagner, N., Khouja, M., Michalewicz, Z., and McGregor, R., Forecasting Economic Time Series with the DyFor Genetic Program Model, Applied Financial Economics, Vol. 18, Iss. 5, 2008, pp. 357-378.

Wagner, N. and Michalewicz, Z., An Analysis of Adaptive Windowing for Time Series Forecasting in Dynamic Environments: Further Tests of the DyFor GP Model, The 2008 Genetic and Evolutionary Computation Conference, Atlanta, GA, July 12-16, 2008.

Wagner, N. Michalewicz, Z., Khouja, M., and McGregor, R., Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 4, 2007, pp. 433-452.

Wagner, N., and Brauer, J., Using Dynamic Forecasting Genetic Programming (DFGP) to Forecast U.S. GDP with Military Expenditure as an Explanatory Variable, Defence and Peace Economics, Vol. 18, No. 5, 2007, pp. 451-466.

Wagner, N. and Michalewicz, Z., Parameter Adaptation for GP Forecasting Applications, Chapter 15 in Lima, C., Lobo, F., and Michalewicz, Z., Editors, Parameter Setting in Evolutionary Algorithms, Springer-Verlag, Berlin, 2007, pp. 295-309.

Carreno, E., Leguizamon, G., and Wagner, N., Evolution of Classification Rules for Comprehensible Knowledge Discovery, The 2007 IEEE Congress on Evolutionary Computation, Singapore, September 25-28, 2007.

 

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