R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm for Solving Complex Optimization Problems

The core message of this paper is to present a new evolutionary algorithm structure that utilizes a reinforcement learning-based agent to adaptively select the most appropriate evolutionary operators during the optimization process, leading to improved performance in solving complex multi-objective optimization problems.