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Optimisation par essaims particulaires

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Optimisation par essaims particulaires

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Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

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

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

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

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

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

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

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

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

RMAML: Riemannian meta-learning with orthogonality constraints