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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25729

Title: The use of area extended particle swarm optimization (AEPSO) in swarm robotics
Authors: Atyabi, Adham
Powers, David Martin
Keywords: Area Extended Particle Swarm Optimization
Swarm robotics
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Atyabi, A. and Powers, D.M. 2010. The use of area extended particle swarm optimization (AEPSO) in swarm robotics. 2010 11th International Conference on Control, Automation, Robotics and Vision (ICARCV), 591-596.
Abstract: Swarm Robotics is the study of simple, un-intelligent robots teaming up together to address complicated tasks using cooperation and knowledge/skills sharing factors. Particle Swarm Optimization (PSO) is an Evolutionary algorithm inspired by animals' social behaviors. PSO has been used in various problems due to its fast convergence capability. Area Extended PSO (AEPSO) is an enhanced version of PSO designed to address complications in the Swarm Robotics field. These complications include dynamicity of the environment, degree of cooperation, time dependency of the tasks, and uncertain nature of the environment. This study investigates advantages and shortcomings of the AEPSO method in the robotic domain.
URI: http://hdl.handle.net/2328/25729
ISSN: 9781424478149
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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