A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems

•A multi-objective optimization model is designed for multi-period dynamic emergency resource scheduling (ERS) problems.•MOEA/D-mdERSis proposed to solve the designed modelbased on the properties of multi-period dynamic ERS problems.•The experimental results show that MOEA/D-mdERS can find a set of...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Transportation research. Part E, Logistics and transportation review Jg. 99; S. 77 - 95
Hauptverfasser:	Zhou, Yawen, Liu, Jing, Zhang, Yutong, Gan, Xiaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier India Pvt Ltd 01.03.2017
Schlagworte:	Emergency resource scheduling problems Multi-objective evolutionary algorithm Multi-objective optimization Multi-period Emergency resource scheduling problems Multi-objective optimization Multi-period Multi-objective evolutionary algorithm
ISSN:	1366-5545, 1878-5794
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!