Abstract
In this paper, a genetic algorithm-based optimization is used to simultaneously minimize two competing objectives guiding the operation of the Jefferson Lab's Continuous Electron Beam Accelerator Facility linacs: cavity heat load and radio frequency cavity trip rates. The results represent a significant improvement to the standard linac energy management tool and thereby could lead to a more efficient Continuous Electron Beam Accelerator Facility configuration. This study also serves as a proof of principle of how a genetic algorithm can be used for optimizing other linac-based machines.
Highlights
The Continuous Electron Beam Accelerator Facility (CEBAF) is a superconducting facility located at Jefferson Lab
With the optimized version of the programming language interface for search algorithms (PISA) genetic algorithm (GA) platform, the constrained simultaneous cavity heat load and trip rates minimizations for CEBAF North and South linacs are independently run using 512 individuals evolved over a maximum of 16000 generations
It is evident that the solutions which more strongly favor minimization of the heat load will have the quantities Gi=quality factor (Qi) bunched around a constant value and obversely for minimized of trip rates and Bi exp 1⁄2A þ BiðGi − FiÞ values
Summary
The Continuous Electron Beam Accelerator Facility (CEBAF) is a superconducting facility located at Jefferson Lab. Cavity trips interrupt the machine operation and reduce the overall time for useful data collection in the experimental halls. The study is motivated by the desire to find the optimal set of cavity gradients needed to maximize science and minimize the cost of operation (electricity bill). Cavity heat load and radio frequency (rf) trip rates are competing objectives—minimizing one quantity will increase the other—necessitating a multiobjective optimization. Will provide a set of optimal solutions clearly showing the trade-offs between the competing objectives. V summarizes the findings and discusses their relevance for linac-based machines in general
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