For example, a constrained multi-objective deep reinforcement learning approach has been introduced to optimise complex industrial processes, such as temperature field management in zinc oxide ...

Expensive constrained multi-objective optimization problems involve computationally expensive objectives and constraints, which impose stiff challenges on traditional evolutionary algorithms to ...

Setting optimum process parameters for complex manufacturing processes such as ultrasonic wire bonding is already challenging for one target variable. Due to numerous influencing physical factors, ...