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Xisong Dong

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ICRA Conference 2019 Conference Paper

A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing

  • Zhishuai Li
  • Gang Xiong 0001
  • Xipeng Zhang
  • Zhen Shen 0004
  • Can Luo
  • Xiuqin Shang
  • Xisong Dong
  • Gui-Bin Bian

The choice of model orientation is a very important issue in Additive Manufacturing (AM). In this paper, the model orientation problem is formulated as a multi-objective optimization problem, aiming at minimizing the building time, the surface quality, and the supporting area. Then we convert the problem into a single-objective optimization in the linear-weighted way. After that, the Genetic Algorithm (GA) is used to solve the optimization problem and the process of GA is parallelized and implemented on GPU. Experimental results show that when dealing with complex models in AM, compared with CPU only implementation, the GPU based GA can speed up the process by about 50 times, which helps to significantly reduce the optimization time and ensure the quality of solutions. The GPU based parallel methods we proposed can help to reduce the execution time and improve the efficiency greatly, making the processes more efficient.

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IS Journal 2012 Journal Article

Parallel Traffic Management System Helps 16th Asian Games

  • Gang Xiong
  • Sheng Liu
  • Xisong Dong
  • Fenghua Zhu
  • Bin Hu
  • Dong Fan
  • Zi Zhang

To overcome public transportation problems during the 16th Asian Games held in Guanhzhou China, a PtMS (Parallel Transportation Management System), a novel application of Intelligent Transportation Systems, was introduced for effective and convenient traffic management. Results show that PtMS has successfully enhanced public traffic management, raising it from experience-based policy formulation plus manual implementation to scientific computing-based policy generation plus implementation with intelligent systems.

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