1. Introduction  
2. Backgrounds  
3. The Taxonomy of RL-EA  
4. Integration Methods for RL and EA  
5. RL Assistance Strategies Used in RL-EA  
6. Attribute Settings of RL in RL-EA  
7. Application of RL-EA  
8. Future Research Directions  
9. Conclusion  