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Cluster Computing

, Volume 22, Supplement 6, pp 15335–15345 | Cite as

Effect of carbon emission policy on fresh aquatic product carriers in augmented reality respective: a parallel simulation research based on genetic algorithm

  • Minjing PengEmail author
  • Fei Yang
Article
  • 121 Downloads

Abstract

During the transportation of aquatic products, living states of the aquatic products and carbon emission of the carriers are respectively the concerns of the carrier enterprises and the government. Drivers adds virtual living states of aquatic products to the real driving environments through augmented reality technology to help themselves control oxygen contents and temperatures, and choose distribution routes. Furthermore, the effectiveness of carbon emission policy is investigated by simulating the impact of the policy on the distribution operations. In the simulation, the carriers take the minimization of overall costs of the distribution operations as the objective. In order to meet the requirements of carbon emission policies, factors of customer demands, road lengths and road congestion are used to determine the distribution. The simulation is implemented based on genetic algorithm: total costs are used as fitness values, and distribution sequences are encoded into chromosomes. And the carbon emission price is introduced as a operating parameter. Through running the simulation, we obtained the overall costs, carbon emission amounts and carbon emission costs. And a linear equation are fitted on the output data passed the reliability test. Based on the linear equation, it is concluded that the increase of the carbon emission price is helpful in reducing carbon emission amount, but it would greatly increase the operation costs of the carriers.

Keywords

Carbon emission policy Aquatic product Genetic algorithm Augmented reality Carbon emission price 

Notes

Acknowledgements

This work is supported by National Science Foundation of China (Grant: 71203162), Science and Technology Planning Project of Guangdong Province (Grant: 2014B040404072), Natural Science Foundation of Guangdong Province (Grant: 2015A030313642), Innovation Project of Wuyi University (Grant: 2014KTSCX128 and 2015KTSCX144).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Economics and ManagementWuyi UniversityJiangmenChina
  2. 2.Engineering Technology Research Center for E-Commerce Augmented Reality of Guangdong ProvinceJiangmenChina

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