Multidisciplinary Design Optimization (MDO) deals with the optimization of several engineering disciplines simultaneously. It provides the opportunity to find the optimal solution of a system accounting for the interactions between the different disciplines. It has application potential in all fields of engineering especially, Mechanical, Mechatronics, Energy, Electrical, Electronics, Aerospace, Manufacturing and Industrial Engineering. The topics covered include: Introduction to Optimization, Design Architectures, Unconstrained & Constrained Optimization, KKT Conditions, Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Multi-Objective & Hybrid Optimization, Design of Experiments, Robust Design & Meta-Modeling, FMEA, VMEA, Post Optimality Analysis.
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Lecture Notes
