Multi-Objective Optimization of Superconducting Linear Acceleration System for Pellet Injection by Using Finite Element Method

The enhancement of the acceleration performance a superconducting linear (SLA) system to inject pellet container has been investigated numerically. To this end, numerical code used in finite element method developed for analyzing shielding current density high-temperature film. In addition, on/off and normalized Gaussian network (NGnet) have implemented shape optimization an coil, non-dominated sorting genetic algorithms-II as method. results computations show that speed profile optimized coil is significantly faster than homogeneous coil. However, method, scattered, whereas becomes hollow NGnet Consequently, effective tool improving SLA obtaining easy design.