COLT '88 Proceedings of the first annual workshop on Computational learning theory
Proceedings of the 30th conference on Winter simulation
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Model abstraction for discrete event systems using neural networks and sensitivity information
Proceedings of the 32nd conference on Winter simulation
An automatic design optimization tool and its application to computational fluid dynamics
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
A High Performance Java Middleware with a Real Application
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Distributed computing with Triana on the Grid: Research Articles
Concurrency and Computation: Practice & Experience
Implementation and utilisation of a Grid-enabled problem solving environment in Matlab
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
New grid scheduling and rescheduling methods in the GrADS project
International Journal of Parallel Programming - Special issue: The next generation software program
Sequential design and rational metamodelling
WSC '05 Proceedings of the 37th conference on Winter simulation
A multi-cluster grid enabled evolution framework for aerodynamic airfoil design optimization
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolutionary Model Type Selection for Global Surrogate Modeling
The Journal of Machine Learning Research
Sequential metamodelling with genetic programming and particle swarms
Winter Simulation Conference
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Metamodeling is emerging as a valuable new tool in simulation: complex computer codes can be approximated by surrogate models (analytic, neural network, SVM, etc.) which can easily be evaluated on-the-fly. Adaptive modeling and sequential design further improve the performance of metamodeling frameworks. Grid computing quickly replaces regular cluster computing when it comes to complex calculations. Several efforts use grid computing to facilitate the exploration of simulator outputs. This contribution combines adaptive modeling and sequential design with distributed, grid-based techniques into one metamodeling framework.