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The optimization of the beam dynamics in a Linac for free electron lasers (FELs) can be a very time consuming process, in which several parameters of the acceleration and compression sections need to be varied simultaneously. The optimization procedure is required to tackle different and often opposite goals at a time, depending on the adopted FEL scheme. As such, multi-objective genetic algorithms are an interesting choice, given their ability to targeting several, often conflicting objectives. We have studied an optimization strategy based on a combination of multi-objective optimization with a fast parallel computation of the FEL performance and, for the specific case of the proposed UK’s New Light Source, we illustrate the benefits of this method for the optimization of the average gain length and its variation along the beam pulse. The method can be extended to other sets of objectives, such as power and bandwidth of the FEL.
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