ACO with Fuzzy Pheromone Laying Mechanism

  • Liu Yu
  • Jian-Feng Yan
  • Guang-Rong Yan
  • Lei Yi
Part of the Communications in Computer and Information Science book series (CCIS, volume 304)


Pheromone laying mechanism is an important aspect to affect performance of ant colony optimization (ACO) algorithms. In most existing ACO algorithms, either only one best ant is allowed to release pheromone, or all the ants are allowed to lay pheromone in the same way. To make full use of ants to explore high quality routes, a fuzzy pheromone laying mechanism is proposed in the paper. The amount of ants that are allowed to lay pheromone varies at each iteration to differentiate different contributions of the ants. The experimental results show that the proposed algorithm possesses high searching ability and excellent convergence performance in comparison with the classic ACO algorithm.


ant colony optimization (ACO) fuzzy pheromone laying 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Liu Yu
    • 1
  • Jian-Feng Yan
    • 2
  • Guang-Rong Yan
    • 1
  • Lei Yi
    • 1
  1. 1.School of Mechanical Engineering and AutomationBeihang UniversityBeijingChina
  2. 2.School of Computer Science & TechnologySoochow UniversitySoochowChina

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