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Simulation of Smog Diffusing Based on Particle Swarm Optimization

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Informatics in Control, Automation and Robotics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 133))

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Abstract

In the field of Computer Graphics the simulation of irregular fuzzy object still is a difficult challenge. Based on particle swarm optimization, the method of combining smog particle density diffusion and inter particles collision each other was studied in this research, which simulates the diffusing and real-time performance of smog. Diffuse force field was established by the diffusion equation, which could ensure the accuracy of the trajectories of diffusion. In order to reduce the time on collision between particles each other, a collision technology based on spatial hashtable is introduced in the research. Experimental results via simulation experiment show that the proposed method in the paper not only can improve the simulation speed of real-time requirements, but also demonstrate the authenticity of the smog diffusion.

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© 2011 Springer-Verlag Berlin Heidelberg

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Xu, J., Liu, L., Liu, Q. (2011). Simulation of Smog Diffusing Based on Particle Swarm Optimization. In: Yang, D. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25992-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-25992-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25991-3

  • Online ISBN: 978-3-642-25992-0

  • eBook Packages: EngineeringEngineering (R0)

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