[Retracted] The HSABA for Emergency Location‐Routing Problem

Abstract

This article presents a Location-Routing Problem (LRP) model to assist decision makers in emergency logistics. The model attempts to consider the relationship between the location of warehouses and the delivery routes in order to maximize the rescue efficiency. The objective function of the minimization of time and cost is established in the single-stage LRP model considering different scenarios. The hybrid self-adaptive bat algorithm (HSABA) is an improved nature-inspired algorithm for solving this LRP model, hard optimization problem. The HSABA with self-adaptation mechanism and hybridization mechanism effectively improves the defect of the original BA, that is, trapping into the local optima easily. An example is provided to prove the effectiveness of our model. The studied example shows that the single-stage LRP model can effectively select supply locations and plan rescue routes faced with different disasters and the HSABA outperforms the basic BA.

Location‐routing problem: a classification of recent research

“…A large body of literature also considers the multiechelon LRP (e.g., Govindan et al, 2014;Boccia et al, 2018;Hu et al, 2018;Dai et al, 2019;Darvish et al, 2019), and one of them (Mirhedayatian et al, 2019) has considered the issue of time synchronization mentioned by Drexl and Schneider (2015). A total of 13.51% works modeled the possibility of transshipment (interfacility transport) between facilities (e.g., Hamidi et al, 2014;Gianessi et al, 2016;Rahmani et al, 2016;Dukkanci and Kara, 2017;Veenstra et al, 2018;Luan et al, 2019). Overall, they all serve as positive indications that the LRP research community is considering a more holistic view, for optimizing the whole supply chain network, as well as the realistic physical characteristics which concur within the network.…”

Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm

“…Luan et al presented a Location-Routing Problem model to assist decision makers in emergency logistics. e model attempted to consider the relationship between the location of warehouses and the delivery routes to maximize the rescue efficiency [18]. Tian et al presented new energy-efficient models of its sustainable location with carbon constraints.…”

Robust optimization approach to emergency mobile facility routing

“…Recently, taking into consideration road capacity decline and other characteristics in a short time under sudden disasters, Zhao et al 21 built a multi-objective route optimization model with connectivity reliability. Luan et al 22 and Liu et al 23 separately presented location routing problem models to assist decision makers in emergency service. The models attempted to consider the delivery routes, the urgent window constraints, and multimodal relief delivery.…”