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Introduces RL-NSGA-II-GRC, a method integrating reinforcement learning with the NSGA-II genetic algorithm enhanced by gray relational coefficients for multi-objective optimization, applied to NASDAQ portfolio optimization. Achieves improved convergence and diversified Pareto fronts.