Journal ArticleDOI
On-line Ship Route Planning of Cold-chain Logistics Distribution Based on Cloud Computing
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The simulation results show that under the cloud computing environment, the on-line planning route overhead of cold chain logistics distribution ship route is lower, the balance of distribution network is better, and the output of coldchain logistics distribution is high.Abstract:
Yu, X., 2019. On-line ship route planning of cold-chain logistics distribution based on cloud computing. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 1132–1137. Coconut Creek (Florida), ISSN 0749-0208.In order to improve the efficiency of cold chain logistics distribution in cloud computing environment, it is necessary to optimize the location of ship route in cold chain logistics distribution. An online planning algorithm of cold chain logistics distribution ship route in cloud computing environment is proposed based on the shortest path optimization control. In the cloud computing environment, the shortest path search model is used to optimize the ship route of cold chain logistics distribution and the location design of cold chain logistics distribution path node. Based on the load balancing model of distribution network, the ship route location and distribution route planning of cold chain logistics under cloud computing environment are carried out. The optimal distribution route control protocol is used to control the cold-chain logistics shipping route in cloud computing environment, and the minimum distribution route is used as the constraint cost. Realize the on-line planning algorithm optimization design of cold chain logistics distribution ship route under cloud computing environment. The simulation results show that under the cloud computing environment, the on-line planning route overhead of cold chain logistics distribution ship route is lower, the balance of distribution network is better, and the output of cold chain logistics distribution is high. Improve the efficiency of cold chain logistics distribution under cloud computing environment.read more
Citations
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Journal ArticleDOI
Shortest Path Selection Algorithm for Cold Chain Logistics Transportation Based on Improved Artificial Bee Colony
TL;DR: In this article, a cold chain logistics transportation shortest path selection algorithm based on improved artificial bee colony is proposed, which is used to initialize the food source, reevaluate the fitness value of the food sources, generate a new food source and optimize the objective function and food source evaluation strategy.
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Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data
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Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization
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TL;DR: Zhang et al. as discussed by the authors explored the intelligent logistics distribution route selection scheme by using mathematical modeling methods such as particle swarm optimization, so as to provide new technologies and methods for logistics distribution operation and management decision-making.
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Ship route planning in the pirate area via hybrid probabilistic roadmap algorithm within the context of the Maritime Silk Road
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TL;DR: Wang et al. as discussed by the authors proposed a hybrid probabilistic roadmap (HPRM) algorithm for ship route planning, which consists of the improved learning phase and the enhanced exploration phase.
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Partner Matching Mechanism of Hainan Cold Chain Logistics Based on Multiobjective Optimization
TL;DR: In this article , an inventory control model of Hainan fresh agricultural products under cold chain logistics is explored by using the inventory management theory and the related theory of system dynamics, and the simulation is carried out by using Vensim software.
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