The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
A Template for Scatter Search and Path Relinking
AE '97 Selected Papers from the Third European Conference on Artificial Evolution
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
Grid Computing
Distributed and Parallel Systems: Cluster and Grid Computing (Kluwer International Series in Engineering & Computer Science)
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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Even though nuclear fusion is the next generation of energy, there are still many problems that are present in current nuclear fusion devices Several of these problems can be solved by means of modelling tools These tools are extremely demanding in terms of computational resources and they also use a large number of parameters to represent the behaviour of nuclear fusion devices The possibility to introduce Evolutionary Algorithms (EAs) like Scatter Search (SS) to look for approximate configurations offers a great solution for some of these problems However, as long as these applications require high computational costs to perform their operations, the use of the grid is an ideal environment to carry out these tests The distributed paradigm of the grid, as well as the high number of computational resources, represents an excellent alternative to execute these tools Within this paper, we explain our work in these three fields, looking for optimized configurations of a nuclear fusion device.