Author: Larson, J.M.
Paper Title Page
TUYE5
 Multiobjective Optimization of the LCLS-II Photoinjector  
 
  • N.R. Neveu
    SLAC, Menlo Park, California, USA
  • T.H. Chang, S.T.P. Hudson, J.M. Larson
    ANL, Lemont, Illinois, USA
  • P.L. Franz
    Stanford University, Stanford, California, USA
  
  Ge­netic al­go­rithms and par­ti­cle swarm op­ti­miza­tion are cur­rently the most widely used op­ti­miza­tion al­go­rithms in the ac­cel­er­a­tor physics com­mu­nity. These al­go­rithms can take many eval­u­a­tions to find op­ti­mal so­lu­tions for one ma­chine pro­to­type. In this work, the LCLS-II pho­toin­jec­tor is op­ti­mized with three op­ti­miza­tion al­go­rithms: a ge­netic al­go­rithm, a sur­ro­gate based al­go­rithm, and a multi-start scalar­iza­tion method. All three al­go­rithms were able to op­ti­mize the pho­toin­jec­tor, with var­i­ous trade-offs for each method dis­cussed here.  
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