Optimization@MIT

16.888J -- Multidisciplinary System Design Optimization
Course Description: Engineering systems modeling for design and optimization. Selection of design variables, objective functions and constraints. Overview of principles, methods and tools in multidisciplinary design optimization (MDO). Subsystem identification, development and interface design. Review of linear and non-linear constrained optimization formulations. Scalar versus vector optimization problems from systems engineering and architecting of complex systems. Heuristic search methods: Tabu search, simulated annealing, genetic algorithms. Sensitivity, tradeoff analysis and isoperformance. Multiobjective optimization and pareto optimality. System design for value. Specific applications from aerospace, mechanical, civil engineering and system architecture.

This class is at the Graduate level
This course is also known as: ESD.77J
Instructor: O. de Weck, K. E. Willcox
Open Courseware Website
Prerequisites: 18.085 or permission of instructor

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