viii Contents
7.1.3 Practical considerations for online optimization
implementation
174
7.2 REVIEW OF OPTIMIZATION ALGORITHMS
178
7.2.1 Deterministic optimization algorithms
178
7.2.1.1 Gradient-based methods
178
7.2.1.2 Gradient-free methods
181
7.2.2 Stochastic optimization algorithms
185
7.2.3 Machine learning (ML) methods
189
7.3 ALGORITHMS FOR ONLINE OPTIMIZATION
193
7.3.1 Testing of traditional algorithms
193
7.3.2 RCDS algorithm
197
7.3.3 RSimplex algorithm
198
7.3.4 Performance comparison for single-objective
algorithms
201
7.3.5 Testing of multi-objective optimization with
stochastic algorithms
203
Chapter 8 Application of beam-based optimization
207
8.1 LINAC-TO-BOOSTER TRAJECTORY STEERING
208
8.2 STORAGE RING INJECTION KICKER BUMP MATCHING
210
8.3 VERTICAL EMITTANCE MINIMIZATION
213
8.3.1 Simulation
214
8.3.2 Experiments
216
8.4 OPTIMIZATION OF NONLINEAR BEAM DYNAMICS
219
8.4.1 Dynamic aperture optimization
220
8.4.2 Local momentum aperture optimization
225
Bibliography
227
Index
237