The combination of Evolutionary Machine Learning and self-supervised learning has been a growing trend in recent years.
Evolutionary Machine Learning can automate the design of machine learning algorithms and provide more reliable solutions.
Self-supervised learning is effective for learning useful features when labeled data is limited.
This survey provides an overview of the studies in this area, introduces Evolutionary Self-Supervised Learning as a new sub-area, and suggests directions for future research.