Concept

Optimisation par essaims particulaires

Publications associées (296)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Optimisation par essaims particulaires

Graph Chatbot

Chattez avec Graph Search

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Distributed Predictive Formation Control of Autonomous Rotary-Wing Micro Aerial Vehicles

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

Universal and adaptive methods for robust stochastic optimization

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

RMAML: Riemannian meta-learning with orthogonality constraints

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

RMAML: Riemannian meta-learning with orthogonality constraints

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Universal and adaptive methods for robust stochastic optimization

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Distributed Predictive Formation Control of Autonomous Rotary-Wing Micro Aerial Vehicles