Multi-objective Optimization Strategy of Train ATO Based on Improved Grey Wolf Algorithm

In order to meet the requirements of safety, energy conservation, punctuality, comfort and other indicators in the operation process of train ATO, a multi-objective optimization strategy based on improved Grey Wolf Optimizer (GWO) algorithm was proposed. Firstly, based on the train operation control...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2024 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) S. 565 - 570
1. Verfasser:	Jiang, Minjian
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.04.2024
Schlagworte:	Automatic Train Operation Computers Energy conservation Energy consumption Heuristic algorithms Image processing improved grey wolf algorithm Mathematical models multi-objective optimization Optimization Safety Testing train operation control
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!