An Improved Ant Colony Optimization Applied to Attributes Reduction

  • Ting-quan Deng
  • Cheng-dong Yang
  • Yue-tong Zhang
  • Xin-xia Wang
Part of the Advances in Soft Computing book series (AINSC, volume 54)


Attribute reduction problem (ARP) in rough set theory is an NP-hard problem, which is difficult to use fast traditional method to solve. In this paper, we discuss about the difference between the traveling salesman problems (TSP) and the ARP, and then we bring up a new state transition probability formula and a new pheromone traps increment formula of ant colony optimization. The results demonstrate that the improved ant colony optimization is better than initial ant colony optimization used in attribute reduction and more suitable for ARP.


Ant Colony Optimization Attribute Reduction Rough Sets Theory 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ting-quan Deng
    • 1
  • Cheng-dong Yang
    • 1
  • Yue-tong Zhang
    • 1
  • Xin-xia Wang
    • 1
  1. 1.College of ScienceHarbin Engineering UniversityHarbinP.R. China

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