Tag: Pareto optimization

Researchers developed a hybrid observer and multi-objective optimization framework that cut simulated motor speed tracking errors by over sixty percent.

A standardized screening of 69 Ganoderma strains identified elite cultivars that combine high yield with rapid substrate colonization and reduced ...

Researchers have developed TEMPO-taVNS, an integrated hardware and machine-learning platform that systematically optimizes personalized thermal, mechanical, and electrical stimulation of ...

A new scenario-clustered robust Pareto design framework optimizes hybrid microgrids by balancing cost, emissions, and reliability across diverse operating conditions.

Engineers have developed a compact rotational compliant stage that uses a non-vertical connecting beam to self-compensate for rotation center drift, ...

A hybrid bee-colony and genetic algorithm with physics-informed neural network screening plans electricity dispatch in wind-, solar-, and electric-vehicle-rich grids ...

A modular path-planning framework called LKSD-PRRT* achieved a 100% static planning success rate and cut dynamic recovery time by 77.25% ...

A physics-aware, uncertainty-guided deep learning surrogate has been shown to replace expensive circuit simulations when optimizing ultra-low-power amplifiers for biosignal ...

The model combined four-dimensional transportation planning, triangular Fermatean fuzzy numbers and a hybrid game-theoretic method to allocate goods among manufacturing ...

A new hybrid Pareto-safe distributional reinforcement learning scheduler balances latency, energy, SLA, and load balance in cloud task allocation while ...