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Parallel CUDA Architecture for Solving de VRP with ACO

  • Diego F
  • Gómez E
  • Ortega-Mier M
  • et al.
Springer London, (2012), 385-393
DOI: 10.1007/978-1-4471-2321-7_43
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Abstract

Ant Colony Optimization (ACO) is an effective meta-heuristic for the solution of a wide variety of problems. Its computation is intrinsically massively parallel, and it is therefore theoretically well-suited for implementation on Graphics Processing Units (GPUs). In this paper, we propose a parallelization strategy to solve the VRP with ACO on the GPU.

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APA

Diego, F. J., Gómez, E. M., Ortega-Mier, M., & García-Sánchez, Á. (2012). Parallel CUDA Architecture for Solving de VRP with ACO. In Industrial Engineering: Innovative Networks (pp. 385–393). Springer London. https://doi.org/10.1007/978-1-4471-2321-7_43

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