Title :
Optimal Design of Accelerating Structure with Nose Cone Shape Based on Genetic Algorithm
Author :
Zhenxing Tang ; Yuanji Pei
Author_Institution :
Nat. Synchrotron Radiat. Lab., Univ. of Sci. & Technol. of China, Hefei, China
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.
Keywords :
C++ language; genetic algorithms; mechanical engineering computing; shapes (structures); C++ programming language; GA program; genetic algorithm; geometric parameter; nose cone shape; optimal accelerating structure design; Acceleration; Impedance; Nose; Optimization; Shape; Sociology; Statistics; Accelerating Structure; Genetic Algorithm; Optimization; Shunt Impedance;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.52
