IEEE

Efficiently Measure the Topologies of Large-Scale Networks Under the Guidance of Neural Network Gradients

Abstract: In this letter, we propose a novel network topology measurement method called the neural network gradient-guided method (NGM), which can use traceroutes to efficiently collect topological ...
Phys.org

Velocity gradients prove key to explaining large-scale magnetic field structure

All celestial bodies—planets, suns, even entire galaxies—produce magnetic fields, affecting such cosmic processes as the solar wind, high-energy particle transport, and galaxy formation. Small-scale ...
crypto

Ethereum price compresses into triangle structure, why breakout is approaching

Ethereum’s price is compressing into a tightening triangle, with converging support and resistance levels signaling a decisive breakout as volatility continues to contract. Ethereum’s (ETH) current ...
IEEE

Learning-Driven Algorithm With Dual Evolution Patterns for Solving Large-Scale Multiobjective Optimization Problems

Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...