Research on intelligent beam tuning for 2x3.0 MV tandem accelerator based on enhanced parameter adaptive differential evolution algorithm

Key Points

• Improved beam tuning efficiency is achieved with the enhanced parameter adaptive differential evolution algorithm.
• The algorithm successfully adapts parameters, leading to optimized performance in beam tuning.
• Observational analysis of the algorithm's implementation shows significant benefits in tuning accuracy and performance.
• Future work may enhance intelligent systems in accelerator technology, emphasizing the need for adaptive optimization.