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Multi-Objective Algorithm for Blood Supply via Unmanned Aerial Vehicles to the Wounded in an Emergency Situation.

Wen T, Zhang Z, Wong KK - PLoS ONE (2016)

Bottom Line: This is a complex problem that includes maintenance of the supply blood's temperature model during transportation, the UAVs' scheduling and routes' planning in case of multiple sites requesting blood, and limited carrying capacity.Then, by introducing the idea of transportation appendage into the traditional Capacitated Vehicle Routing Problem (CVRP), this new problem is proposed according to the factors of distance and weight.By comparing our technique with the traditional ones, our algorithm can obtain better optimization results and time performance.

View Article: PubMed Central - PubMed

Affiliation: Software School, Xiamen University, Xiamen, Fujian, China.

ABSTRACT
Unmanned aerial vehicle (UAV) has been widely used in many industries. In the medical environment, especially in some emergency situations, UAVs play an important role such as the supply of medicines and blood with speed and efficiency. In this paper, we study the problem of multi-objective blood supply by UAVs in such emergency situations. This is a complex problem that includes maintenance of the supply blood's temperature model during transportation, the UAVs' scheduling and routes' planning in case of multiple sites requesting blood, and limited carrying capacity. Most importantly, we need to study the blood's temperature change due to the external environment, the heating agent (or refrigerant) and time factor during transportation, and propose an optimal method for calculating the mixing proportion of blood and appendage in different circumstances and delivery conditions. Then, by introducing the idea of transportation appendage into the traditional Capacitated Vehicle Routing Problem (CVRP), this new problem is proposed according to the factors of distance and weight. Algorithmically, we use the combination of decomposition-based multi-objective evolutionary algorithm and local search method to perform a series of experiments on the CVRP public dataset. By comparing our technique with the traditional ones, our algorithm can obtain better optimization results and time performance.

No MeSH data available.


Related in: MedlinePlus

The temperature of the water (T1) and the blood (T2) change with time in the given circumstance.
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pone.0155176.g008: The temperature of the water (T1) and the blood (T2) change with time in the given circumstance.

Mentions: In our model, the UAV carries blood and appendage, and we can calculate the weight of required appendage by using the weight of blood required and the transport time. Assuming that the temperature of the external environment is -25°C, 2000ml blood that has an initial temperature, T2(0) = 5 based on 2.4 kg of hot water with an initial temperature, T1(0) = 50, and that the current temperature of the blood transportation container is 20°C. According to the Eqs (1) and (2), T1 and T2 will change as shown in Fig 8.


Multi-Objective Algorithm for Blood Supply via Unmanned Aerial Vehicles to the Wounded in an Emergency Situation.

Wen T, Zhang Z, Wong KK - PLoS ONE (2016)

The temperature of the water (T1) and the blood (T2) change with time in the given circumstance.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4862655&req=5

pone.0155176.g008: The temperature of the water (T1) and the blood (T2) change with time in the given circumstance.
Mentions: In our model, the UAV carries blood and appendage, and we can calculate the weight of required appendage by using the weight of blood required and the transport time. Assuming that the temperature of the external environment is -25°C, 2000ml blood that has an initial temperature, T2(0) = 5 based on 2.4 kg of hot water with an initial temperature, T1(0) = 50, and that the current temperature of the blood transportation container is 20°C. According to the Eqs (1) and (2), T1 and T2 will change as shown in Fig 8.

Bottom Line: This is a complex problem that includes maintenance of the supply blood's temperature model during transportation, the UAVs' scheduling and routes' planning in case of multiple sites requesting blood, and limited carrying capacity.Then, by introducing the idea of transportation appendage into the traditional Capacitated Vehicle Routing Problem (CVRP), this new problem is proposed according to the factors of distance and weight.By comparing our technique with the traditional ones, our algorithm can obtain better optimization results and time performance.

View Article: PubMed Central - PubMed

Affiliation: Software School, Xiamen University, Xiamen, Fujian, China.

ABSTRACT
Unmanned aerial vehicle (UAV) has been widely used in many industries. In the medical environment, especially in some emergency situations, UAVs play an important role such as the supply of medicines and blood with speed and efficiency. In this paper, we study the problem of multi-objective blood supply by UAVs in such emergency situations. This is a complex problem that includes maintenance of the supply blood's temperature model during transportation, the UAVs' scheduling and routes' planning in case of multiple sites requesting blood, and limited carrying capacity. Most importantly, we need to study the blood's temperature change due to the external environment, the heating agent (or refrigerant) and time factor during transportation, and propose an optimal method for calculating the mixing proportion of blood and appendage in different circumstances and delivery conditions. Then, by introducing the idea of transportation appendage into the traditional Capacitated Vehicle Routing Problem (CVRP), this new problem is proposed according to the factors of distance and weight. Algorithmically, we use the combination of decomposition-based multi-objective evolutionary algorithm and local search method to perform a series of experiments on the CVRP public dataset. By comparing our technique with the traditional ones, our algorithm can obtain better optimization results and time performance.

No MeSH data available.


Related in: MedlinePlus