Role of an Optimal Multiagent Scheduling in Different Applications Using ML
Scheduling is regarded as one of the vital decision-making processes used frequently in many real-time cases. It manages everything from resource allocation to the task completion, with the goal to optimize the desired objectives. Subject to the problem, the resources, tasks, and goals can differ. T...
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/85292 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Role of an Optimal Multiagent Scheduling in Different Applications Using ML
- Small Object Detection in Drone Aerial Imagery with LAF-YOLOv10
- A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems
- Constructing $C^1$ limit surfaces from unstructured splines via averaging and refinement
- The Role of Infectious Agents in Colorectal Carcinogenesis
- Multiagent Systems for 3D Reconstruction Applications
- An Efficient Application of Neuroevolution for Competitive Multiagent Learning