Particle Swarm Optimization Algorithm Applied in Online Commissioning at the Mls and Bessy Ii
نویسندگان
چکیده
Particle Swarm Optimization (PSO) is a population based optimization technique inspired by the social behaviour of bird flocking [1]. This algorithm has been successfully used for beam dynamics simulations due to its excellent capability to deal with large-dimensional optimization problems [2, 3]. At the MLS and BESSY II PSO was first successfully applied to improve the lifetime by 20 ~ 30% within only 10 iterations respectively. Now the PSO has been implemented as a multifunctional online optimizer to improve the machine performance. This paper presents some results of online experiments.
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تاریخ انتشار 2017