New models address problems related to timing, scheduling of surgeries, capacity planning, patients' stays in recovery

Researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery units. In ...

DeepMind’s robotic ballet: An AI for coordinating manufacturing robots

With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The computations grew linearly with the growing number of tasks and obstacles, ...
IEEE

Improved Genetic Algorithm Using Reinforcement Learning to Solve the Re-entrant Flexible Flow Shop Scheduling Problem

Abstract: The Reentrant Flexible Flow Shop Scheduling Problem (RFFSP) involves multiple repetitions of job processing in the production system, which leads to higher scheduling complexity. To solve ...
IEEE

Energy-Efficient Task Scheduling and Resource Allocation in Edge-Heterogeneous Computing Systems Using Multiobjective Optimization

Abstract: With the explosive growth of Internet of Things (IoT) devices and the enormous data they generate, edge computing with heterogeneous architecture has been a research hotspot. Limited by a ...