Hybrid Augmented Lagrangian Method for General Constrained Optimization via Evolutionary Algorithms
This work proposes a Hybrid Augmented Lagrangian method that integrates the AL framework's constraint-handling strengths with the exploratory power of population-based search, and outperforms purely evolutionary approaches and scales more effectively to high-dimensional constrained problems, where evolutionary-only met...