P. Jia

Optimization of Artificial IntelligenceDriven Evolutionary Algorithms for Complex Engineering Problems

An evolutionary algorithm optimization framework (DLRL-EAF) that fuses deep learning and reinforcement learning is proposed that significantly reduces the time and resource costs of problem-solving in practical engineering applications and demonstrates its practical value in industrial settings.