jobshop_scheduling/ ├── data/ # Job shop instance files │ ├── jobshop1.txt # OR-Library instances (abz, ft, la, orb, etc.) │ └── jobshop2.txt ...

Robot applications encompass a multitude of edge computing tasks, such as image processing, health monitoring, path planning, and infotainment. However, task scheduling within such environments ...

ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...

This project uses reinforcement learning techniques to optimize home energy management systems, enabling intelligent energy scheduling and cost optimization. It supports multiple advanced RL ...

Abstract: Reinforcement Learning (RL) based task scheduling approaches can be adopted in a Multi-access Edge Computing (MEC) based Internet of Things (IoT) network to address the inherent trade-off ...

Abstract: In last ten to fifteen years lots of improved and transformed forms of RR Scheduling have been created to overcome some of issues which were available in the standard RR Scheduling. When ...