New Splitting Algorithms Tame Tricky Weakly Convex Optimization Problems
Mathematicians have developed ADMM and linearized ADMM algorithms with explicit convergence guarantees for weakly convex optimization, demonstrating dramatic speedups in ...
Mathematicians have developed ADMM and linearized ADMM algorithms with explicit convergence guarantees for weakly convex optimization, demonstrating dramatic speedups in ...
An AI decision-support model tested across 85 automotive, electronics, and textile plants achieved up to 27 percent lower energy use, ...
Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in ...
Researchers have developed a modified particle swarm optimization algorithm that outperforms eight competing heuristics in mobile robot path planning, cutting ...
A new study shows that a monotonic increase in layer-wise acoustic resistance, rather than any specific geometric gradient, is the ...
A new systematic review and benchmark study shows that while genetic algorithms and particle swarm optimization remain reliable workhorses, Gaussian ...
University of Tennessee engineers and scientists are developing DFARM, a nearly $1 million NSF-funded smart platform connecting hydroponic systems, community ...
Researchers at Yanshan University have developed a multi-objective multitasking optimization algorithm that uses adaptive knowledge transfer and manifold learning to ...
A Chinese research team has combined COMSOL numerical simulation with an optimized XGBoost-LSTM hybrid machine learning model to predict coal ...
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© 2025 Scienmag - Science Magazine