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Biedron, S.

Paper Title Page
TUPEC025 Artificial Intelligence Systems for Electron Beam Parameters Optimization at the Australian Synchrotron LINAC 1770
 
  • E. Meier, G. LeBlanc
    ASCo, Clayton, Victoria
  • S. Biedron
    ELETTRA, Basovizza
  • M.J. Morgan
    Monash University, Faculty of Science, Victoria
  
 

We re­port the de­vel­op­ment of an ar­ti­fi­cial in­tel­li­gent sys­tem for the op­ti­mi­sa­tion of elec­tron beam pa­ram­e­ters at the Aus­tralian Syn­chrotron Linac. The sys­tem is based on state of the art de­vel­op­ments in Ar­ti­fi­cial In­tel­li­gence tech­niques for video games and is adapt­ed here to beam pa­ram­e­ters op­ti­mi­sa­tion prob­lems. It con­sists of a ge­net­i­cal­ly evolved neu­ral net­work that mim­ics an op­er­a­tor's de­ci­sions to per­form an op­ti­mi­sa­tion task when no prior knowl­edge other than con­straints on the ac­tu­a­tors is avail­able. The sys­tem's de­ci­sions are based on the ac­tu­a­tors po­si­tions, the past per­for­mance of close points in the search space and the prob­a­bil­i­ty of reach­ing a bet­ter per­for­mance in the local re­gion of the search space.