Author: Fielder, R.T.
Paper Title Page
WEPAF054 Online Multi Objective Optimisation at Diamond Light Source 1944
 
  • M. Apollonio, R. Bartolini, R.T. Fielder, I.P.S. Martin
    DLS, Oxfordshire, United Kingdom
  • R. Bartolini
    JAI, Oxford, United Kingdom
  • G. Henderson
    Oxford University, Physics Department, Oxford, Oxon, United Kingdom
  • J. Rogers
    Imperial College of Science and Technology, Department of Physics, London, United Kingdom
  
  At Diamond Light Source we have developed an Optimization Package currently used online to improve the performance of the machine, usually measured in terms of lifetime, injection efficiency or beam disturbance at injection. The tool is flexible in that control variables in order to optimise objectives (or their functions) can be easily specified by means of EPICS process variables (PV), making it suitable for virtually any sort of optimization. At present three different algorithms can be used to perform optimizations in a multi-objective fashion: Multi-Objective Genetic Algorithm (MOGA), Particle Swarm Optimizer (MOPSO) and Simulated Annealing (MOSA). We present a series of tests aimed at characterizing the algorithm as well as improving the performance of the machine itself.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2018-WEPAF054  
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