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Adaptive Large Neighborhood Search using the Graphics Processing Unit

Abstract

We investigate the efficiency of Adaptive Large Neighborhood Search on the Graphics Processing Unit (GPU). We do this by implementing the algorithm for the Distance-constrained Capacitated Vehicle Routing Problem (DCVRP), which we benchmark towards a state of the art CPU implementation. The computational power of the GPU in ordinary computers has increased significantly in recent years. Therefore it is interesting to utilize this computing power. We perform tests on well-known DCVRP instances.

Category

Academic lecture

Client

  • Research Council of Norway (RCN) / 227071
  • Research Council of Norway (RCN) / 205298

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics

Presented at

INFORMS Annual Meeting 2015

Place

Philadelphia

Date

01.11.2015 - 04.11.2015

Organizer

INFORMS

Year

2015

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