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High Fidelity Approximation of Slow Simulators Using Machine Learning for Real-time Simulation/Optimization

, , and . 2004 Business and Industry Symposium, Washington, DC, USA, (April 2004)

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Book Review: Global Optimization Toolbox for Maple and Global Optimization with Maple.. Int. J. Model. Identif. Control., 1 (4): 338-339 (2006)Extending the boundaries of design optimization by integrating fast optimization techniques with machine-code-based, linear genetic programming, and . Information Sciences, 161 (3-4): 99--120 (20 April 2004)FEA 2002.Tackling Real-World Environmental Challenges with Linear Genetic Programming. PCAI, 15 (5): 35--37 (September 2000)Discrimination of Unexploded Ordnance from Clutter using Linear Genetic Programming, , , and . Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 4, Springer, Ann Arbor, (12-14 May 2005)Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming, , , and . Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, (26 July 2004)High Fidelity Approximation of Slow Simulators Using Machine Learning for Real-time Simulation/Optimization, , and . 2004 Business and Industry Symposium, Washington, DC, USA, (April 2004)Automatic Induction of Machine Code (AIM) Learning Real Time Adaptive Control Strategies, , , and . www document, (11 May 2000)Getting It Right at the Very Start -- Building Project Models where Data Is Expensive by Combining Human Expertise, Machine Learning and Information Theory, and . 2004 Business and Industry Symposium, Washington, DC, (April 2004)Finding and Identifying Objects Based on Noisy Data: A Global Optimization Approach - Part 1: Theoretical Approach and Applicability with Deployment Examples; and Part 2 UXO Finding and Discrimination. Results from Field Production: Translation of R&D work into Field Production Tools UXOMF, , , , , and . EURO XXI, Reykjavik, Iceland, (2-6 July 2006)Solving the Unsolved Using Machine Learning, Data Mining and Knowledge Discovery to Model a Complex Production Process, , , , , , , , and . Advanced Technology Simulation Conference, Wasington, DC, USA, (22-26 April 2000)