DocumentCode :
2943045
Title :
Self-organization of agents for collective movement based on particle swarm optimization: A qualitative analysis
Author :
Barrera, Armando Serrato ; López-López, Aurelio ; Gómez, Gustavo Rodríguez
Author_Institution :
Nat. Inst. of Astrophys., Opt. & Electron., Tonantzintla, Mexico
fYear :
2011
fDate :
Feb. 28 2011-March 2 2011
Firstpage :
71
Lastpage :
76
Abstract :
Collective behavior of flocks, herds and schools of fish has been modeled by several approaches in the last decades. In recent years, similar behavior has been obtained by using a simple model based on particle swarm optimization algorithm (PSO). In this article we provide a qualitative analysis of this approach. We also compare it with classical models based on Reynolds rules and potential functions schemes. Furthermore, implementation details and simulation results are given. The final goal of this study is to model multi-target flocking using PSO approach. We provide a general overview of how we envision this.
Keywords :
collision avoidance; multi-robot systems; particle swarm optimisation; self-adjusting systems; Reynolds rule; agent selforganization; collective movement; multitarget flocking; obstacle avoidance behavior; particle swarm optimization; potential function scheme; Analytical models; Lead; Mobile agents; Nonlinear systems; Numerical stability; Particle swarm optimization; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Communications and Computers (CONIELECOMP), 2011 21st International Conference on
Conference_Location :
San Andres Cholula
Print_ISBN :
978-1-4244-9558-0
Type :
conf
DOI :
10.1109/CONIELECOMP.2011.5749342
Filename :
5749342
Link To Document :
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