Improvement of traveling salesman problem solution using hybrid algorithm based on best-worst ant system and particle swarm optimization

HIGHLIGHTS

  • who: Muhammad Salman Qamar and collaborators from the Department of Electrical Engineering, Qurtuba University of Science and IT, Faculty of Information Technology, Beijing University of Technology, Beijing, China have published the research work: Improvement of Traveling Salesman Problem Solution Using Hybrid Algorithm Based on Best-Worst Ant System and Particle Swarm Optimization, in the Journal: (JOURNAL) of 19/05/2021
  • what: In this paper BWAS incorporated arrangement as a high level type of ACO to upgrade the exhibition of the TSP arrangement is proposed.

SUMMARY

    The solution of Traveling Salesman Problem . . .

     

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