Using a Genetic Algorithm and the Grid to Improve Transport Levels in the TJ-II Stellarator

摘要

Fusion energy is the next generation of energy. The devices that scientists are using to carry out their researches need more energy than they produce, because many problems are presented in fusion devices. In magnetic confinement devices, one of these problems is the transport of particles in the confined plasma. Some modeling tools can be used to improve the transport levels, but the computational cost of these tools and the number of different configurations to simulate make impossible to perform the required test to obtain good designs. But with grid computing we have the computational resources needed for running the required number of tests and with genetic algorithms we can look for a good result without exploring all the solution space.