DEAL: Dual-Pool Evolutionary Algorithm with LLM-Driven Adaptive Operator Selection
In evolutionary algorithms (EAs), static operator configurations often depend on human expertise and may lead to search stagnation. Existing adaptive methods either overlook real-time optimization states or require substantial computational overhead. Recent LLM-based methods support adaptive decision-making; however, a...