Author: Curioni, A.
Paper Title Page
TUAAI2 A Massively Parallel General Purpose Multi-objective Optimization Framework, Applied to Beam Dynamic Studies 62
 
  • Y. Ineichen, A. Adelmann
    PSI, Villigen, Switzerland
  • P. Arbenz
    ETH, Zurich, Switzerland
  • C. Bekas, A. Curioni
    IBM Research - Zurich, Rueschlikon, Switzerland
 
  Particle accelerators are invaluable tools for research in basic and applied sciences. The successful design, commissioning, and operation of accelerator facilities is non trivial. We implemented a framework for general simulation-based multi-optimization methods automating the investigation of optimal sets of machine parameters. In order to solve the emerging, huge problems we propose a massively-parallel master/slave approach. We employ the framework to identify optimal parameters of existing and new accelerators at PSI.  
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