Socio-cognitive ACO in Multi-criteria Optimization

  • Aleksander ByrskiEmail author
  • Wojciech Turek
  • Wojciech Radwański
  • Marek Kisiel-Dorohinicki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11537)


In this paper a socio-cognitive ACO-type algorithm is proposed for multi-criteria TSP problem optimization. This algorithm is rooted in psychological inspirations and follows other socio-cognitive swarm intelligence methods proposed up to now. This paper presents the idea and shows the applicability of the proposed algorithm based on selected benchmark functions from the scope of well-known TSPLIB library.


Multi-criteria optimization Ant-colony algorithm Socio-cognitive computing 



The research presented in this paper was partially supported by the funds of Polish Ministry of Science and Higher Education assigned to AGH University of Science and Technology.


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Authors and Affiliations

  1. 1.AGH University of Science and TechnologyKrakowPoland

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