The A-Design approach to managing automated design synthesis
The A-Design approach to managing automated design synthesis
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DOI：
10.1007/s00163-002-0025-x
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发表时间：
2003-02
影响因子：
3.2
通讯作者：
M. Campbell;J. Cagan;K. Kotovsky
中科院分区：
文献类型：
--
作者：
M. Campbell;J. Cagan;K. Kotovsky
本文提出了一种管理设计综合技术复杂性的方法。通常，计算方法将模型设计作为搜索过程或优化问题来处理。然而，这种技术的性质不允许用户在搜索过程开始后与其交互。此外，传统的计算搜索缺乏从经验中学习的能力。虽然计算搜索技术能够快速搜索许多设计备选方案，但人类工程师通常可以通过应用从过去经验中学到的启发式方法来得出更优雅和更健壮的解决方案。这里介绍的方法通过允许用户输入和根据以前的经验做出决策来改进设计综合方法的能力。在研究过去的候选人设计过程中，这个过程会学习到更有效地寻找解决方案。结果表明，这种技术如何提高设计质量和现有搜索过程的效率。
This paper presents an approach to managing the complexities of design synthesis techniques. Often computational approaches model design as a search process or as an optimization problem. The nature of such techniques, however, does not allow the user to interact with the search process once it has begun. Furthermore, traditional computational search lacks the ability to learn from experience. While computational search techniques have the ability to search many design alternatives quickly, the human engineer can often arrive at a more elegant and robust solution by applying heuristics learned from past experiences. The method introduced here improves the capabilities of design synthesis methods by allowing for user input and by making decisions based on previous experience. In studying past candidate designs the process learns to be more effective in searching for solutions. Results show how such a technique improves the quality of designs and efficiency of an existing search process.