Design issues are fundamentally optimization problems requiring appropriate optimization methods and algorithms. The increasing complexity of modern design challenges has rendered traditional ...
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 ...
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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 ...
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