Optimal Engineering Design: Principles and Applications
Optimal Engineering Design: Principles and Applications
Efficient Global Optimization of Expensive Black-Box Functions
Journal of Global Optimization
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Designing Grid-based Problem Solving Environments and Portals
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
High Performance Parametric Modeling with Nimrod/G: Killer Application for the Global Grid?
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
A Semantic Web-Based Approach to Knowledge Management for Grid Applications
IEEE Transactions on Knowledge and Data Engineering
Grid enabled sequential design and adaptive metamodeling
Proceedings of the 38th conference on Winter simulation
Communication mechanisms in ecological network-based grid middleware for service emergence
Information Sciences: an International Journal
Future Generation Computer Systems
Design and implementation of a grid extension for Maple
Scientific Programming - International Symposium of Parallel and Distributed Computing & International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogenous Networks
DNA fragment assembly using a grid-based genetic algorithm
Computers and Operations Research
A Grid Enabled Problem Solving Environment for Monte Carlo Matlab Simulations
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Future Generation Computer Systems
Earth system modelling with Windows Workflow Foundation
Future Generation Computer Systems
Adaptive distributed metamodeling
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
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In many areas of design search and optimisation one needs to utilise computational fluid dynamics (CFD) methods in order to obtain a numerical solution of the flow field in and/or around a proposed design. From this solution measures of quality for the design may be calculated, which are then used by the optimisation methods. In large models the processing time for the CFD computations can very well be many orders of magnitude larger than for the optimisation methods themselves; and the overall optimisation process usually demands a combination of computational and database resources; therefore this class of problems is well suited to Grid computing. The Geodise toolkit is a suite of tools for Grid-enabled parametric geometry generation, meshing, CFD analysis, design optimisation and search, databasing, Grid computing, and notification within the Matlab environment. These Grid services are presented to the design engineer as Matlab functions that conform to the usual syntax of Matlab. The use of the Geodise toolkit in Matlab introduces a flexible and Grid-enabled problem solving environment (PSE) for design search and optimisation. This PSE is illustrated here with two exemplar problems.