Latest Articles for Optimization

A new method enhances the coordination of microgrids for reliable power systems.

This work presents innovative approaches for solving mixed optimization challenges.

A new framework enhances image recovery from limited or noisy data.

A new approach combines Control Lyapunov Functions and Control Barrier Functions for safer control systems.

This research proposes optimizing individual neurons for enhanced AI performance.

A structured approach to enhance Model Predictive Control using category theory.

A look into how smart cities manage resources while meeting strict limits.

This article explains the steps and importance of optimization in various fields.

A new approach to generating design ideas using machine learning techniques.

Examining how quantum computing enhances radar technology through ISLR optimization.

Explore strategies to ensure safe routing in vulnerable networks.

Managing natural gas flow is key for energy efficiency and safety.

Dallenbach absorbers reduce wave reflection, enhancing performance across various applications.

Discover how new methods improve truss design efficiency and effectiveness.

New optimization methods are reshaping protein design for better accuracy and efficiency.

A look at how oscillator-based machines tackle complex optimization problems.

This article discusses methods for creating efficient robots using simulations and real tests.

A look at measuring similarities between data points using distance metrics.

Exploring how quantum computing can improve optimization tasks.

Learn how joint optimization can enhance optical network efficiency.

Research reveals effective strategies for parameter settings in quantum optimization.

New techniques improve solutions in complex quadratic programming across various applications.

Introducing LAMA, a method that improves CT imaging while reducing radiation exposure.

Discover how machine learning is transforming protein engineering and directed evolution.

New methods speed up the generation of 3D models from text prompts.

A new method for creating 3D animal models from online images.

KrADagrad improves optimization efficiency in machine learning with lower resource needs.

A new approach simplifies data sharing for efficient distributed learning.

HypLL simplifies deep learning for hierarchical data using hyperbolic space.

New algorithms improve the analysis of complex, high-dimensional datasets.

This study focuses on analyzing ECG signals to improve heart disease diagnosis.

Airlines use math to improve fuel efficiency and reduce travel time.

Exploring strategies to find the best solution for combined functions in optimization.

A novel method allows printed surfaces to display different images and colors based on viewing angles.

Exploring the role of flat minima in improving machine learning model performance.

This article discusses methods for optimizing smooth, non-convex functions with noise.

A look at quantum methods to improve solutions for the MaxCut optimization challenge.

A new method for agent cooperation using edge agreements to achieve shared goals.

Optimizing agent-based models for better performance in biological simulations.

Machine learning techniques enhance quantum circuit synthesis, optimizing efficiency and performance.