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Outline Path Planning in Partially Known Environments. Finding the Shortest Path to the Goal. Alternative Approaches to Path Planning in Partially Known Environments. Continuous Optimal Path Planning
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Multidisciplinary System An mdo value framework Design Optimization(MSDO) Lifecycle cost models Design for Value Value metrics valuation techniques ecture 24 Value-based mdo
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Plan for the Session Basic concepts in probability and statistics Review design of experiments Basics of Robust Design Research topics - Model-based- assessment of RD methods Faster computer-based robust design Robust invention
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Massachusetts Institute of Technology -Prof de Weck and Prot. Wacox Massachusetts Institute of Technology-Prof de Weck and Prof willcox
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Vehicle Development Research Laboratory Presented at MIT 4/14/04 for 16.888/sd.77J Multidisciplinary System Design Optimization (MSDO) Prof. Olivier de Weck and Prof. Karen Willcox ... Designing Great GM Cars and Trucks!
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arametric Model Structure Representation GM RD Parametric Geometry Changes Parametric animation
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The experience of the 1960s has shown that for military aircraft the cost of the final increment of performance usually is excessive in terms of other characteristics and that the overall system must be optimized, not just performance Ref: Current State of the art of Multidisciplinary design Optimization
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Multidisciplinary System Optimality Conditions & Termination Design Optimization(MSDO) Gradient-based techniques Post-Optimality Analysis Heuristic techniques
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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
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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
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