第一节旅游地与旅游地管理信息系统 第二节地理信息系统在旅游地管理中的应用 第三节旅游地理信息系统的设计与建立 第四节虚拟现实技术在旅游地规划中的应用

Course rationale Role of msdo in Engineering Systems Learning objectives Pedagogy and Course Administration a historical perspective on Mdo MSDO Framework introduction The“ dairy farm” sample problem Massachusetts Institute of Technology- Prof de Weck and Prof Willcox

Last time discussed standard approach Sequential modular analysis lecture 3) Modules are executed sequentially with or without feedback loops · MDO frameworks Other Approaches

Design of Experiments Overview Full Factorial Design Parameter stud One at a time Latin Hypercubes Orthogonal arrays Effects DoE Paper Airplane Experiment

How to know whether optimization is needed

Sensitivity Analysis effect of changing design variables effect of changing parameters effect of changing constraints Gradient calculation methods Analytical and Symbolic Finite difference Adjoint methods

More on Fitness Function Assignment Mutation Constraint implementation in Gas Multiobjective optimization with Gas Tabu search Selection of Optimization algorithms o Massachusetts Institute of Technology -Prof de Weck and Prof Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics

What are heuristics The Origin and Analogy of Simulated Annealing The Simulated Annealing algorithm An Example: The Terrestrial Planet Finder Mission Sample results Ways to Tailor the simulated Algorithm Summary References O Massachusetts Institute of Technology- Dr. Cyrus D Jilla& Prof. Olivier de Weck ngineering Systems Division and Dept of Aeronautics Astronautics

arametric Model Structure Representation GM RD Parametric Geometry Changes Parametric animation

Massachusetts Institute of Technology -Prof de Weck and Prot. Wacox Massachusetts Institute of Technology-Prof de Weck and Prof willcox