Parallel Ant Colony Optimization Algorithm on a Multi-core Processor

  • Shigeyoshi Tsutsui
  • Noriyuki Fujimoto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6234)


This paper proposes parallelization methods of ACO algorithms on a computing platform with a multi-core processor aiming at fast execution to find acceptable solutions. As an ACO algorithm, we use the cunning Ant System and test on several sizes of TSP instances. As the parallelization method, we use agent level parallelization in one colony using Java thread programming. According to the synchronization and exclusive control modes among threads, we propose three types of parallel ACO algorithms. Among them, that which we call the rough asynchronous parallel model shows the most promising results.


Local Search Candidate Solution Computing Platform Solution Construction Fast Execution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Shigeyoshi Tsutsui
    • 1
  • Noriyuki Fujimoto
    • 2
  1. 1.Management InformationHannan UniversityMatsubaraJapan
  2. 2.ScienceOsaka Prefecture UniversitySakaiJapan

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