Integration of Knowledge Forms in Design Optimization

非线性优化（NLP）技术通常用于帮助实现非线性优化。 在设计过程中必须做出的决定。 一旦关键 设计中的变量已指定，优化可用于 找到设计参数的最佳值。 使用非线性 编程，设计师必须经常精通识别 为什么一个特定的技术是不工作，并在选择一个 适当的替代品。 本研究旨在开发一个专家系统 使用非线性规划技术。 该系统将基于 从设计师和分析师那里获得的知识， 优化程序的计算。 专家系统将 在几个层次上操作--使用适用于整个设计的规则 空间，这只适用于在特殊情况下，或只在一个 instance. 这样一个专家系统的可用性将释放一个 设计师从大部分的乏味和挫折的工作， 优化程序

Nonlinear optimization (NLP) techniques often are used to aid in the decisions that must be made as a design progresses. Once the critical variables in a design have been specified, optimization can be used to find the best values for parameters of the design. To use nonlinear programming, the designer must often become well-versed in recognizing why a particular technique is not working and in selecting an appropriate alternative. This research is to develop an expert system using nonlinear programming techniques. This system will be based on knowledge acquired from designers-analysts and from the numerical calculations of the optimization programs. The expert system will operate at several levels--using rules that apply to the entire design space, that apply only under special circumstances, or only in one instance. The availability of such an expert system would free a designer from much of the tedium and frustration of working with optimization programs.