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Parallelizing Simulated Annealing Algorithm in Many Integrated Core Architecture

  • Junhao Zhou
  • Hong Xiao
  • Hao Wang
  • Hong-Ning Dai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9787)

Abstract

The simulated annealing algorithm (SAA) is a well-established approach to the approximate solution of combinatorial optimisation problems. SAA allows for occasional uphill moves in an attempt to reduce the probability of becoming stuck in a poor but locally optimal solution. Previous work showed that SAA can find better solutions, but it takes much longer time. In this paper, in order to harness the power of the very recent hybrid Many Integrated Core Architecture (MIC), we propose a new parallel simulated annealing algorithm customised for MIC. Our experiments with the Travelling Salesman Problem (TSP) show that our parallel SAA gains significant speedup.

Keywords

Parallel computing Simulated annealing MIC optimization 

Notes

Acknowledgement

The work described in this paper was partially supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3 and the NSFC-Guangdong Joint Fund under Grant No. U1401251 and Guangdong Science and Technology Program under Grant No.2015B090923004.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Junhao Zhou
    • 1
  • Hong Xiao
    • 1
  • Hao Wang
    • 2
  • Hong-Ning Dai
    • 3
  1. 1.Faculty of Computer, Guangdong University of TechnologyGuangzhouChina
  2. 2.Big Data Lab, Faculty of Engineering and Natural SciencesNorwegian University of Science and TechnologyÅlesundNorway
  3. 3.Faculty of Information TechnologyMacau University of Science and TechnologyMacauChina

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