Research on Fuzzy Dynamic Location-Routing Problem of Victim Search in Flood Disaster

Li, Shouying; Zhou, Huijuan; Li, Yuanbo

doi:10.14257/ijunesst.2016.9.7.06

Cited by 2 publications

(2 citation statements)

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“…The LRP has been applied for decision-making in humanitarian logistics in various natural disasters. Logistic operations include coordination and transportation of goods and wounded people [30] medical materials and personnel, specialised rescue equipment and rescue teams, food, etc., victims' search and rescue [31], debris removal and final disposal site location [32], and supplies location and pre-positioning [33]- [36]. Most researches on LRP for evacuation planning comprise more than one objective, including the reduction of the evacuation time, the minimization of costs associated with the opening of shelters and transportation [37], and the risk related to routes or facilities [38]- [40].…”

Section: Introductionmentioning

confidence: 99%

“…Song et al [44] formulated an LRP with time windows (LRPTW) for an evacuation plan in a natural disaster and they used a hybrid genetic algorithm to minimize the total evacuation time. Li and Zhou [31] established a model of fuzzy rescue time LRPTW for the optimization of boat routes and the location of shelters in the search of victims of flood disasters. To solve the model, a hybrid genetic algorithm was designed and its results indicate that the model and the algorithm provide a method for victim search decision-making in flood disasters.…”

Section: Introductionmentioning

confidence: 99%

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A memetic algorithm for location-routing problem with time windows for the attention of seismic disasters: a case study from Bucaramanga, Colombia

et al. 2018

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Introduction− In recent years, a great part of the population has been affected by natural and man-caused disasters. Hence, evacuation planning has an important role in the reduction of the number of victims during a natural disaster. Objective− In order to contribute to current studies of operations research in disaster management, this paper addresses evacuation planning of urban areas by using buses to pick up affected people after an earthquake. Methodology− The situation is modeled using Location-Routing Problem with Time Windows (LRPTW) to locate emergency shelters and identify evacuation routes that meet attention time constraints. To solve the LRPTW problem, a memetic algorithm (MA) is designed to minimize the total response time during an evacuation. The algorithm is not only validated using instances of literature, but also with the assessment of a case study of a seismic event in Bucaramanga, Colombia. Results and conclusions− The main contribution of this article is the development of a memetic algorithm for the solution of the proposed model that allows to solve real-size instances. The hybrid initialization of the MA prevents an early convergence by combining randomness and a heuristic technique. Computational results indicate that the MA is a viable approach for the LRPTW solution. Likewise, a case study is presented for the city of Bucaramanga in order to validate the proposed model. Two scenarios are simulated showing that the management of the time windows (homogeneous or random) directly influences the solution and affects the objective function. From a practical perspective, the location-routing problem must consider other criteria such as the cost of evacuation, including the attention delay cost, and the cost of opening shelters and routing.

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