CAAS: a novel collective action-based ant system algorithm for solving TSP problem

  • Sicong Li
  • Saihua Cai
  • Li Li
  • Ruizhi SunEmail author
  • Gang Yuan
Methodologies and Application


To solve some problems of ant system algorithm, such as the slow speed of convergence and falling into the phenomenon of “ant colony group loss” easily, we introduce the collective action into the traditional ant system algorithm. Based on the collective action, we propose a novel collective action-based ant system algorithm, namely CAAS, for solving the traveling salesman problem. In the CAAS algorithm, a collective action “optimal solution approval” is defined for ant colony and each ant of the ant colony is assigned a threshold, and then each ant decides whether to join into the collective action according to its own threshold in the iteration process. When all ants approved the same solution, the iteration is stopped and output the final optimal solution. At last, we conduct extensive experiments on six public datasets to verify the performance of the proposed CAAS algorithm. The experimental results show that the CAAS algorithm can get a better solution under a less iteration.


Traveling salesman problem Ant system Ant colony optimization Collective action 


Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Sicong Li
    • 1
  • Saihua Cai
    • 1
  • Li Li
    • 1
  • Ruizhi Sun
    • 1
    • 2
    Email author
  • Gang Yuan
    • 1
  1. 1.College of Information and Electrical EngineeringChina Agricultural UniversityBeijingChina
  2. 2.Scientific Research Base for Integrated Technologies of Precision Agriculture (Animal Husbandry), The Ministry of AgricultureBeijingChina

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