基于智能规划的自动化概念设计综合方法

为进一步提高计算机辅助概念设计(CACD)系统的求解效率,基于人工智能中智能规划的思想,提出了一种新的启发式自动化概念设计综合方法.该方法基于状态-动作的表达方法对原理解的功能知识进行表达,并利用规划图原理对原理解进行组织和存储.结合提出的前向链集成策略、后向链集成策略和前后向链综合集成求解策略,可以高效率地对设计问题进行求解.最后,以海浪发电照明系统的概念设计为例.对该方法的可行性和求解效率进行了验证.

An Automated Planning-Based Conceptual Design Synthesis Approach

To improve the solving efficiency of computer aided conceptual design (CACD) systems, this paper proposes a novel heuristic planning approach for automated conceptual design synthesis based on the idea of automated planning in artificial intelligence. The proposed method represented the functional knowledge of principle solution based on the state action method. With the proposed three integration solving search strategies (e.g., forward chaining integration, backward-chaining integration and forward-backward-chaining integration), the proposed methods can efficiently solve design problems. Finally, a design case of tidal power system illustrates that the proposed heuristic planning approach can successfully achieve an automated conceptual design synthesis.