Author: Hofler, A.S.
Paper Title Page
THTB1 Genetic Algorithms and Their Applications in Accelerator Physics 1111
 
  • A.S. Hofler
    JLAB, Newport News, Virginia, USA
 
  Funding: Authored by JSA, LLC under U.S. DOE Contract DE-AC05- 06OR23177. The U.S. Govt. retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce this for U.S. Govt. purposes.
Multi-objective optimization techniques are widely used in an extremely broad range of fields. Genetic optimization for multi-objective optimization was introduced in the accelerator community in relatively recent times and quickly spread becoming a fundamental tool in multi-dimensional optimization problems. This discussion introduces the basics of the technique and reviews applications in accelerator problems.
 
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