Introduction of Simulation Learning and Optimization to Support Engineering Design

本研究的目的是整合仿真， 学习和优化，以形成一个自适应和互动的 建模系统（AIMS）支持多个视角， 设计和并行工程的不同阶段。 给予 从模拟或实验中收集的实例数据库，以及 AIMS执行一组建模目标和设计目标 多目标优化在模型形成和 使用阶段。 通过改变建模目标，如速度， 准确性和可理解性，AIMS可以生成分层模型 以满足不同设计阶段不断变化的需求。 通过将不同的生命周期问题视为竞争设计， 目标，AIMS可以支持系统地纳入多个 并行工程的前景。 这项研究代表 一个重要的和有意义的整合， 智能技术与传统工程方法 进一步推进设计自动化的基础研究。

The objective of this research is to integrate simulation, learning, and optimization to form an Adaptive and Interactive Modeling System (AIMS) to support multiple perspectives at different stages for design and concurrent engineering. Given a database of examples collected from simulations or experiments, and a set of modeling objectives and design objectives, AIMS performs multi-objective optimization at both model formation and utilization phases. By varying modeling objectives, such as speed, accuracy, and comprehensibility, AIMS can produce layered models to meet the changing needs at different stages of design. By treating different life-cycle concerns as competing design objectives, AIMS can support systematic incorporation of multiple perspectives for concurrent engineering. This research represents a significant and meaningful integration between artificial intelligence based techniques and conventional engineering methods to further advance the basic research in design automation.