Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
EurekAlert!

Application of multi-objective optimization based on Sobol sensitivity analysis in solar single-double-effect LiBr−H2O absorption refrigeration

To improve the adaptability of solar refrigeration systems to different heat sources, a single-double-effect LiBr-H2O ...
Electronics360

Wind turbine control systems: From PID to reinforcement learning

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

How AI Is Saving Distressed Real Estate From The ‘Carbon Cliff’

In the race against the "Carbon Cliff", AI is becoming an essential tool for balancing the economic equation. AI integration ...
IEEE

A Global Multi-Objective Bayesian Optimization Framework for Generic Machine Design Using Gaussian Process Regression

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...
EurekAlert!

Dynamic decision-making of UAV swarm based on constrained multi-objective optimization under incomplete interference information

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...
IEEE

Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-objective Evolutionary Optimization

Abstract: Constraint-handling techniques and genetic operators are two crucial components in constrained multi-objective evolutionary algorithms (CMOEAs). Recent research in most of CMOEAs has ...