scholarly journals Robust optimization approach to emergency mobile facility routing

2021 ◽  
Vol 104 (1) ◽  
pp. 003685042098268
Author(s):  
Jianxun Li ◽  
Kin Keung Lai ◽  
Yelin Fu ◽  
Hai Shen
Keyword(s):  
Robust Optimization ◽  
Emergency Services ◽  
Optimization Approach ◽  
Routing Problem ◽  
Uncertain Variables ◽  
Penalty Factor ◽  
Emergency Events ◽  
Computational Difficulty ◽  
Environmental Events ◽  
Mobile Facilities

Emergency events such as natural disasters, environmental events, sudden illness, and social security events pose tremendous threats to people’s lives and property security. In order to meet emergency service demands by rationally allocating mobile facilities, an emergency mobile facility routing model is proposed to maximize the total served demand by the available mobile facilities. Based on the uninterruptible feature of emergency services, the model abstracts emergency events act as a combination of multiple uncertain variables. To overcome the computational difficulty, a robust optimization approach and genetic algorithm are employed to obtain solutions. Illustrative examples show that it provides an effective method for solving the emergency mobile facility routing problem, and that the risk factor and penalty factor of the model can further guide decision-making.

scholarly journals Robust Optimization Solution to Emergency Mobile Facility Fleet Size and Location

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Jianxun Li ◽  
Kin Keung Lai ◽  
Qiuping Lin
Keyword(s):  
Robust Optimization ◽  
Ant Colony Algorithm ◽  
Programming Model ◽  
Optimization Approach ◽  
Fleet Size ◽  
Emergency Response System ◽  
Emergency Event ◽  
Computational Difficulty ◽  
The Cost ◽  
Mobile Facilities

Allocation of emergency mobile facility is the key problem of the emergency response system, which affects the cost and the satisfaction of services for emergency so as to rapidly respond to disasters, contagions, etc. In order to seek a reasonable fleet size and locations of emergency mobile facilities, we propose a two-stage programming model with the objective function of minimizing the total cost. With uncertain characteristics of emergency event, the model conforms to the requirement for noninterruptible service and tries to satisfy all emergency demands. For overcoming the computational difficulty of emergency mobile facility fleet size and location problem, a robust optimization approach and modified ant colony algorithm are employed to obtain solutions. The illustrative example shows that the model can provide a reasonable solution to the determination of the fleet size and locations of emergency mobile facilities and that the risk recognition factor of the model can further guide decision-making.

A robust optimization approach for the vehicle routing problem with selective backhauls

2020 ◽  
Vol 136 ◽  
pp. 101888 ◽  
Author(s):  
Maria João Santos ◽  
Eduardo Curcio ◽  
Mauro Henrique Mulati ◽  
Pedro Amorim ◽  
Flávio Keidi Miyazawa
Keyword(s):  
Robust Optimization ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Optimization Approach ◽  
Routing Problem
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