CHAPTER I PARTS OF SPEECH Independent Work .1. 1、对系统的控制是一门跨学科的(interdisciplinary)科目 2、速度等于距离与时间之比。 3、图51Q点对晶体管工作的影响。 4、论文对其性能做了初步的分析。 5、理解二进制数字系统( binary number systems)的基础
Outline Lightning Summary Black Box Model of SIFT SLAM Vision System Challenges in Computer Vision What these challenges mean for visual SLAM How SIFT extracts candidate landmarks How landmarks are tracked in SIFT SLAM Alternative vision-based SLAM systems Open questions
Mlesd Particle Swarm Optimization 5. 9 A pseudo-optimization method (heuristic) inspired by the collective intelligence of swarms of biological populations Flocks of birds Colonies of insects C Rania Hassan 3/2004 Engineering Systems Division -Massachusetts Institute of Technology
Why multiobjective optimization? Example-twin peaks optimization History of multiobjective optimization Weighted Sum Approach(Convex Combination) Dominance and Pareto-Optimality Pareto Front Computation -nBl o Massachusetts Institute of Technology-Prof de Weck and Prof Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics
Alternatives to Weighted Sum(WS)Approach Multiobjective Heuristic Programming Utility Function Optimization Physical Programming(Prof. Messac) Application to Space System Optimization Lab Preview(Friday 4-9-2003-Section 1) 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
Mesd Heuristic Search Techniques 16888 2S0.77 Main Motivation for Heuristic Techniques: (1)To deal with local optima and not get trapped in them (2)To allow optimization for systems, where the design variables are not only continuous, but discrete
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
