Research on Improved NSGA-II Algorithm and Its Application in Emergency Management
Joint Authors
Fang, Xi
Wang, Wenwen
He, Lang
Huang, Zhangcan
Liu, Yang
Zhang, Liang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper constructs a dynamic multiobjective location model; three objectives are considered: the first objective maximizes the total utility of relief supplies, the second objective minimizes the number of temporary facilities needed to operate, and the third objective maximizes the satisfaction for all demand points.
We propose an improved NSGA-II to solve the optimization problem.
The computational experiments are divided into two sections: In the first procedure, the numerical experiment is constructed by the classical functions ZDT1, ZDT2, and DTLZ2; the results show that the proposed algorithm generates the exact Pareto front, and the convergence and uniformity of the proposed algorithm are better than the NSGA-II and MOEA/D.
In the second procedure, the simulation experiment is constructed by a case in emergency management; the results show that the proposed algorithm is more reasonable than the traditional algorithms NSGA-II and MOEA/D in terms of the three objectives.
It is proved that the improved NSGA-II algorithm, which is proposed in this paper, has high precision application for the sudden disaster crisis and emergency management.
American Psychological Association (APA)
Fang, Xi& Wang, Wenwen& He, Lang& Huang, Zhangcan& Liu, Yang& Zhang, Liang. 2018. Research on Improved NSGA-II Algorithm and Its Application in Emergency Management. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1205550
Modern Language Association (MLA)
Fang, Xi…[et al.]. Research on Improved NSGA-II Algorithm and Its Application in Emergency Management. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1205550
American Medical Association (AMA)
Fang, Xi& Wang, Wenwen& He, Lang& Huang, Zhangcan& Liu, Yang& Zhang, Liang. Research on Improved NSGA-II Algorithm and Its Application in Emergency Management. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1205550
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205550