Author: Chao, Y.X.
Paper Title Page
MOPWO062 A Parallel Multi-objective Differential Evolution Algorithm for Photoinjector Beam Dynamics Optimization 1031
  • J. Qiang, C.E. Mitchell, S. Paret, R.D. Ryne
    LBNL, Berkeley, California, USA
  • Y.X. Chao
    UCB, Berkeley, California, USA
  Funding: Work supported by the Director of the Office of Science of the US Department of Energy under Contract no. DEAC02-05CH11231
In photoinjector design, there is growing interest in using multi-objective beam dynamics optimization to minimize the final transverse emittances and to maximize the final peak current of the beam. Most previous studies in this area were based on genetic algorithms. Recent progress in optimization suggests that the differential evolution algorithm could perform better in comparison to the genetic algorithm. In this paper, we propose a new parallel multi-objective optimizer based on the differential evolution algorithm for photoinjector beam dynamics optimization. We will discuss the numerical algorithm and some benchmark examples. This algorithm has the potential to significantly reduce the computation time required to reach the optimal Pareto solution.