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

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.