基于强化学习的产品服务一体化设计生成方法OA

With the continuous evolution of personalized demands and complex environments in the market,traditional design solution generation methods have become inadequate to meet the dynamic and real-time requirements in design.To address diverse user demands and complex and volatile market conditions,this paper focuses on the problem of product-serviced integrated design and proposes a reinforcement learning-based design solution generation method.It models the design problem based on actual examples from the enterprise production process and conducts instance verification through deep Q-networks.The experimental results show that the proposed design solution generation method demonstrates good adaptability and intelligence in scenarios of a certain complexity,to some extent solving the challenges faced by traditional design methods.