Paper | Title | Page |
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FR1IOPK01 | Optimization Algorithms for Accelerator Physics Problems | 245 |
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Optimization tools are needed in every step of an accelerator project, from the design to commissioning to operations. However, different phases have different optimization needs that may require different optimization algorithms. For example, a global optimizer is more appropriate in the design phase to map the whole parameter space whereas a local optimizer with a shorter path to solution is more adequate during operations to find the next best operating point. Different optimization algorithms are being used in accelerator physics, we mention in particular standard algorithms based on least square minimization and evolutionary algorithms such as genetic optimizers. Over the years, we have developed several optimization tools for beam tracking codes to include 3D fields and SC effects. Including particle tracking in the optimization process calls for parallel computing. We will review the different algorithms and their implementation and present few highlight applications. |
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FR1IOPK02 | Application of Multiobjective Genetic Algorithm in Accelerator Physics | 251 |
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Multiobjective Genetic Algorithm(MOGA) is a technique for optimization, and based on the populations and natural selections. We have integrated this algorithm with linear lattice calculation code to make the lattice design more robust. |
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FR1IOPK09 | Application of Direct Methods of Optimizing Storage Ring Dynamic and Momentum Apertures | 255 |
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Optimization of dynamic and momentum apertures is one of the most challenging problems in storage ring design. For storage-ring-based x-ray sources, large dynamic aperture is important in obtaining high injection efficiency, which leads to efficient operation and protects components from radiation damage. X-ray sources require large momentum aperture to obtain sufficiently long Touschek lifetimes with low-emittance beams. We have developed effective methods of optimizing dynamic and momentum apertures that rely directly on tracking using a moderately sized Linux cluster. After reviewing the method, we present examples of its application to APS operations, upgrades, and next-generation storage rings. |