Title

Using Genetic Algorithms To Evolve The Control Rules Of A Swarm Of Uavs

Keywords

Behavior-based robots; Genetic algorithms; Swarming; UAV

Abstract

Due to the large number of interactions that the agents in a swarm of UAVs have with each other as well as with their environment, it is necessary to obtain a viable procedure that yields a reasonable group behavior from these local interactions. This paper proposes a hierarchical behavior-based model in which several parameters are adjusted with a genetic algorithm (GA). The presented model implements three explicit layers of behaviors (basic, group and mission) in a simulation in which the agents seek to survey a rectangular target area while avoiding a circular obstacle. © 2005 IEEE.

Publication Date

12-1-2005

Publication Title

Proceedings - 2005 International Symposium on Collaborative Technologies and Systems

Volume

2005

Number of Pages

359-365

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ISCST.2005.1553335

Socpus ID

33845475633 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33845475633

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