Grid-oriented scatter search algorithm
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Scatter search and grid computing to improve nuclear fusion devices
LSSC'09 Proceedings of the 7th international conference on Large-Scale Scientific Computing
Distributed and asynchronous solver for large CPU intensive problems
Applied Soft Computing
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Fusion energy is the next generation of energy. Plasma confinement is part of the program to develop fusion energy, so many investigations have been performed on it. Grid computing is currently focused on scientific problems like fusion energy or climate. Using grid computing many of these problems, with high computational costs, can be simulated and optimized before implementing special devices. High number of tests can be performed using grid computing in the same time that a single test on a single machine, so researchers can obtain better results in less time than using traditional techniques. In this paper, we present our first steps in grid computing applied into fusion energy, being the starting point to analyse and optimize the configuration of a device for plasma confinement based on the transport inside the device. Finally we propose some goals to use the current work in future investigations.