A Bilevel Multiobjective Optimisation Approach for Solving the Evacuation Location Assignment Problem
Author
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, a bilevel multiobjective optimisation model is proposed to solve the evacuation location assignment problem.
The model incorporates the two decision-makers’ spaces, namely, urban planners and evacuees.
In order to solve the proposed problem, it is first reformulated into a single-level problem using the Karush–Kuhn–Tucker conditions.
Next, the problem is linearised into a mixed-integer linear programming model and solved using an off-the-shelf solver.
A case study is examined to showcase the applicability of the proposed model, which is solved using single-objective and multiobjective lexicographic optimisation approaches.
The model provides planners with an ability to determine the best locations for placement of shelters in such a way that the evacuees’ traffic assignment on the existing network is optimised.
American Psychological Association (APA)
Hammad, Ahmed W. A.. 2019. A Bilevel Multiobjective Optimisation Approach for Solving the Evacuation Location Assignment Problem. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1116645
Modern Language Association (MLA)
Hammad, Ahmed W. A.. A Bilevel Multiobjective Optimisation Approach for Solving the Evacuation Location Assignment Problem. Advances in Civil Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1116645
American Medical Association (AMA)
Hammad, Ahmed W. A.. A Bilevel Multiobjective Optimisation Approach for Solving the Evacuation Location Assignment Problem. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1116645
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116645