Jiggle particle swarm optimization algorithm for multi-parameter optimization of Egun

A jiggle particle swarm optimization (JPSO) algorithm has been adopted for multi-parameter optimization of 2D electro-optical problems. Given the target track of electron trajectory and scope of optimization, it can find rotating axisymmetric vacuum boundaries and magnetic structures whose electron trajectories are close to the target one. The algorithm consists of two phases. In the first phase, up and down test method (jiggle) is adopted with continuous reference to the best particle’s information. In the second phase, the basic particle swarm optimization (PSO) algorithm is adopted. The JPSO algorithm can find the global best solution with higher probability than the basic PSO algorithm, and shows multi-core computer’s potential in engineering design of electro-optical problems. This