Usage of Evolutionary Algorithms in Swarm Robotics and Design Problems

Autor: Ozlem Karaca Akkan, LEVENT TÜRKLER, Taner AKKAN
Rok vydání: 2022
Předmět:
Zdroj: Sensors; Volume 22; Issue 12; Pages: 4437
ISSN: 1424-8220
DOI: 10.3390/s22124437
Popis: In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, which form the basis of swarm robotics, are introduced. Communication topologies in robotic swarms, which are similar to the communication methods between living things moving in nature, are included and how these can be used in swarm communication is emphasized. With the developed algorithms, how the swarm can imitate nature and what tasks it can perform have been explained. The various problems that will be encountered in terms of the design of the optimization methods used during the control of the swarm and the solutions are simulated using the Webots software. As a result, ideas on the solutions of these problems and suggestions are proposed.
Databáze: OpenAIRE
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