Concept

Multidisciplinary design optimization

Related lectures (31)

Design Definition and Multidisciplinary Optimization

Explores design solution definition, multidisciplinary optimization, and challenges in system design optimization, including the roots and motivation behind Multidisciplinary Design Optimization.

Design Optimization: Principles and Applications

Covers design optimization principles, virtual prototypes, multi-objective optimization, and challenges in the field.

Hybrid CRFs: Design and Optimization

Explores the design challenges and benefits of hybrid CRFs, emphasizing low loss and simultaneous optimization for improved performance.

Design Optimization in ChemBio

Explores the design optimization of sensors and bioluminescent proteins for drug monitoring and metabolite visualization.

System Architecture and Concept Generation

Explores system architecture, concept generation methods, and the importance of managing complexity in design.

Concept Selection and Tradespace Exploration

Covers decision analysis, concept selection methods, non-dominance, and optimization in system design.

Response Surface Design: Lack of Fit

Explores response surface design, emphasizing lack of fit analysis and quadratic models, with practical examples in Matlab.

Inverse Design and Sensitivity Analysis

Explores optimal transport, transforming light, inverse design optimization, and sensitivity analysis for shape optimization.

Fluorescent Protein Stability Assessment

Covers protein stability assessment using RFP and GFP, flow cytometry, mutagenesis, calcium reporters, and CRISPR-Cas9 experiments.

External Energy Derivation

Covers the derivation of external energy in geometric computing and practical Python implementations.

Motor control systems

Explores motor control systems, covering algorithms, sensor integration, and practical applications in robotics and automation.

Optimization: Classical Problems

Covers classical optimization problems, brute force algorithms, and integer linear optimization.

Geometric Computing Laboratory: Inverse Design Optimization

Explores inverse design optimization in geometric computing, covering topics such as deployable structures, material-aware design, and programmed materials.

Energy Optimization in Memory Systems

Explores energy optimization in memory systems, emphasizing the importance of memory hierarchies and trade-offs between reliability and timeliness.

Efficient Software for Embedded Systems

Emphasizes the need for efficient software in embedded systems, discussing optimizations to reduce worst case execution times.

Mechanical Systems Dynamics: Modeling and Analysis

Explores the dynamics of mechanical systems, emphasizing modeling techniques and the impact of deformation and inertia forces.

Computational Aspects of Optimization

Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.

Electronic Article Surveillance: Materials Optimization

Discusses the optimization of materials for electronic article surveillance devices, emphasizing the importance of material properties.

Tools for Constraining Neuron Models

Covers tools for constraining neuron models using eFEL and BluePyOpt.

Optimization Techniques: Local Search, VNS, Simulated Annealing

Explores optimization techniques like local search, VNS, and simulated annealing.