A Bilevel Multiobjective Optimisation Approach for Solving the Evacuation Location Assignment Problem

Author

Hammad, Ahmed W. A.

Source

Advances in Civil Engineering

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

Civil Engineering

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