Multidisciplinary design optimization

Formal sciences
Mathematics
Mathematical optimization
Metaheuristics

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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.