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Parallel Ant Colony Optimization for the Quadratic Assignment Problems with Symmetric Multi Processing

  • Shigeyoshi Tsutsui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5217)

Abstract

Recently symmetric multi processing (SMP) has become available at a reasonable cost. In this paper, we propose several types of parallel ACO algorithms with SMP for solving the quadratic assignment problem (QAP). These models include the master-slave models and the island models. We evaluated each parallel algorithm with a condition that the run time for each parallel algorithm and the base sequential algorithm are the same. The results suggest that using the master-slave model with increased iteration of ACO algorithms is promising in solving QAPs.

Keywords

Local Search Parallel Algorithm Parallel Model Quadratic Assignment Problem Island Model 
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 2008

Authors and Affiliations

  • Shigeyoshi Tsutsui
    • 1
  1. 1.Hannan UniversityMatsubaraJapan

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