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4 September 2024 Optimization of emergency supplies distribution path based on hybrid genetic algorithm
Ao Shen, Bo Zhang, Can Cui
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Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 1325932 (2024) https://doi.org/10.1117/12.3039594
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China
Abstract
With the frequent occurrence of natural disasters and emergencies, how to deliver emergency materials efficiently and accurately, is a key problem in emergency management. Traditional distribution path optimization method is often difficult to deal with complex and changeable emergency environment, therefore, this paper builds a emergency supplies distribution model based on the combination of trucks and drones, and puts forward a hybrid genetic algorithm to solve the model, realize the efficiency of emergency logistics distribution, and save the cost of emergency logistics distribution, provides strong support for emergency management.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ao Shen, Bo Zhang, and Can Cui "Optimization of emergency supplies distribution path based on hybrid genetic algorithm", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 1325932 (4 September 2024); https://doi.org/10.1117/12.3039594
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KEYWORDS
Genetic algorithms
Unmanned aerial vehicles
Mathematical optimization
Transportation
Autonomous vehicles
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