Transfer Learning Boosts Evolutionary Algorithms for Dynamic Optimization

This ArXiv paper explores a novel approach to enhance evolutionary algorithms by integrating transfer learning and clustering techniques. The research focuses on improving the performance of these algorithms in dynamic, multimodal, and multi-objective optimization problems.

• •Applies transfer learning within evolutionary algorithms.
• •Addresses dynamic, multimodal, and multi-objective problems.
• •Utilizes clustering techniques for improved efficiency.