1. Introduction  
2. Neural Architecture Search Space  
3. Optimization Methods  
4. Early Termination of Training Processes  
5. Transfer Learning  
6. Constraints and Multiple Objectives  
7. Other Related Methods  
8. Outlook and Future Applications of Neural Architecture Search Methods