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.
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