The dynamic multi-objective optimization problem is a common problem in real life, which is characterized by conflicting objectives, the Pareto frontier (PF) and Pareto solution set (PS) will follow ...
Design issues are fundamentally optimization problems requiring appropriate optimization methods and algorithms. The increasing complexity of modern design challenges has rendered traditional ...
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Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...