Cunning Ant System for Quadratic Assignment Problem with Local Search and Parallelization

  • Shigeyoshi Tsutsui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4815)

Abstract

The previously proposed cunning ant system (cAS), a variant of the ACO algorithm, worked well on the TSP and the results showed that the cAS could be one of the most promising ACO algorithms. In this paper, we apply cAS to solving QAP. We focus our main attention on the effects of applying local search and parallelization of the cAS. Results show promising performance of cAS on QAP.

Keywords

Local Search Convergence Process Quadratic Assignment Problem Island Model Solution Construction 
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 2007

Authors and Affiliations

  • Shigeyoshi Tsutsui
    • 1
  1. 1.Hannan University, Matsubara, Osaka 580-8502Japan

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