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TY - CONF AU - Dunning, D.J. AU - Castañeda Cortés, H.M. AU - Jones, J.K. AU - Thompson, N. ED - Schaa, Volker R.W. ED - Decking, Winfried ED - Sinn, Harald ED - Geloni, Gianluca ED - Schreiber, Siegfried ED - Marx, Michaela TI - Multi-Objective FEL Design Optimisation Using Genetic Algorithms J2 - Proc. of FEL2019, Hamburg, Germany, 26-30 August 2019 CY - Hamburg, Germany T2 - Free Electron Laser Conference T3 - 39 LA - english AB - Simulation studies were carried out to optimise the performance of various FEL designs, with examples including longitudinal current profile shaping for a seeded FEL, and selection of the chicane delays for the High-Brightness SASE technique. In these examples multi-objective genetic algorithms were applied to a single section of the overall facility simulation, i.e. the undulator, as is the common approach. Further studies are also reported in which a full start-to-end simulation chain was optimised, with the aim of delivering a more holistic facility design optimisation. PB - JACoW Publishing CP - Geneva, Switzerland SP - 711 EP - 714 KW - FEL KW - simulation KW - brightness KW - framework KW - electron DA - 2019/11 PY - 2019 SN - "" SN - 978-3-95450-210-3 DO - doi:10.18429/JACoW-FEL2019-THP065 UR - http://jacow.org/fel2019/papers/thp065.pdf ER -