[Retracted] A Novel Hybrid Algorithm for Multiobjective Location‐Allocation Problem in Emergency Logistics

Abstract

Increased frequency of disasters keeps reminding us of the importance of effective resource distribution in postdisaster. To reduce the suffering of victims, this paper focuses on how to establish an effective emergency logistics system. We first propose a multiobjective optimization model in which the location and allocation decisions are made for a three-level logistics network. Three objectives, deprivation costs, unsatisfied demand costs, and logistics cost, are adopted in the proposed optimization model. Several cardinality and flow balance constraints are considered simultaneously. Then, we design a novel effective IFA-GA algorithm by combining the firefly algorithm and genetic algorithm to solve this complex model effectively. Furthermore, three schemes are proposed to improve the effectiveness of the IFA-GA algorithm. Finally, the numerical results provide several insights on the theory and practice of relief distribution, which also illustrate the validity of the proposed solution algorithm.

Research and Implementation of Indoor 3D Positioning Algorithm Based on LED Visible Light Communication and Corresponding Parameter Estimation

“…As can be seen from the figure, when light source 1 is installed in the x 1 = y 1 =0.4 and x 1 = y 1 =1.3 area, the minimum illuminance of the surface to be measured is greater than 300 lx, which meets the indoor illuminance requirements [ 4 ].…”

Critical Decision-Making Issues in Disaster Relief Supply Management: A Review

“…Both Tofighi et al [ 61 ] and Rezaei-Malek et al [ 59 ] consider the additional cost of unused relief inventories in the preparation of disaster relief operations. Chu and Chen [ 67 ] design a novel effective IFA-GA algorithm to solve a multiobjective optimization function which contains the deprivation cost, the unsatisfied demand cost, and the logistics cost.…”

“…Critical factors in the location decision of disaster relief facilities. Ukkusuri and Yushimito[68]; Hong et al[69]; Renkli and Duran[60]; Paul and MacDonald[70]; Kapucu[71]; Roh et al[72]; Chu and Chen[67] …”

Techniques for Locating Facilities in Emergency Situations, Chiapas, Mexico

“…In this same area, we can mention the research by Hongrui & Yahong (2021), in which the authors propose a multi-objective location-allocation optimization model to minimize deprivation, unsatisfied demand, and logistic costs. Subsequently, derived from the complexity, they designed a new algorithm combining the Firefly algorithm and the classic Genetic algorithm.…”