Optimal Design of Accelerating Structure with Nose Cone Shape Based on Genetic Algorithm

Zhenxing Tang, Y. Pei
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引用次数: 1

Abstract

This paper analyzed the process of optimal design of accelerating structure and described the method of optimal design of accelerating structure based on genetic algorithm (GA). We performed the simulation experiment which is optimal design of the accelerating structure with a nose cone shape using the C++ programming language to write GA program. It proved that the algorithm was feasible and it gave a set of geometric parameter with higher shunt impedance for accelerating structure.
基于遗传算法的机头锥型加速结构优化设计
分析了加速结构优化设计的过程,提出了基于遗传算法的加速结构优化设计方法。利用c++编程语言编写遗传算法,对具有鼻锥形状的加速结构进行了优化设计的仿真实验。证明了该算法的可行性,并给出了一组具有较高分流阻抗的加速结构几何参数。
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