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- Article name
- AN IMPROVED PSO ALGORITHM FOR CLUSTERING PROBLEM IN MULTI-ROBOT SYSTEMS
- Authors
- Petunin A. A., , a.a.petunin@urfu.ru, Ural Federal University; N. N. Krasovskii Institute of Mathematics and Mechanics, Ekaterinburg, Russia
Alzubairi Sh. M., , Shaymaaalzubairi77@gmail.com, Ural Federal University, Ekaterinburg, Russia
Alban X. L., , hussam.l.alwan@uotechnology.edu.iq, University of Technology, Baghdad, Iraq
Ukolov S. S., , s.s.ukolov@urfu.ru, Ural Federal University, Ekaterinburg, Russia
- Keywords
- automatic clustering / MRTA / MRS / mobile robot / particle swarm optimization
- Year
- 2025 Issue 3 Pages 32 - 40
- Code EDN
- ROMBNB
- Code DOI
- 10.52190/2073-2597_2025_3_32
- Abstract
- An efficient solution to the problem of task distribution among several robots is presented. It is assumed that a group of mobile robots should inspect a set of predefined targets using a two-stage approach to reduce the search space. The proposed solution is compared with a classical particle swarm optimization algorithm and a genetic algorithm-based approach, and the results of the comparison are presented.
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