A general hybrid framework for many-objective optimization: integrating local search into reference-vector-based evolutionary algorithms
Results show that integrating local search significantly enhances performance, while a principled method for setting hybrid parameters ensures robustness and reproducibility, highlighting the potential of combining mathematical programming techniques with evolutionary algorithms for high-dimensional many-objective opti...