LLM-Enhanced Adaptive MOEA/D for Solving Multiobjective Problems with Complex Pareto Fronts
Adaptively adjusting the components or parameters of decomposition-based multiobjective evolutionary algorithms (MOEA/Ds) is crucial for enhancing its performance in handling multiobjective optimization problems with complex Pareto fronts. However, component design strategies and parameter tuning mechanisms based on do...