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A flexible scheduling system is designed to be applied in the production scheduling of rubber factory. The system is to reduce the cost of production. The traditional method can't solve the actual problems, so this system gives a new rescheduling solution and establishes a specific mathematical model. An improved genetic algorithm is used to solve the model. Steady-state reproduction and linear transformation...
Generally, reinforcement learning (RL) is used to design neurocontroller for control system with single objective. When facing multi-objective system, it is necessary to design the neurocontroller according to the personal preference. This paper proposed a multi-objective reinforcement learning algorithm (MORLA) to design neurocontroller with the personal preference. It transformed the multi-objective...
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