The Use of Area Extended Particle Swarm Optimization (AEPSO) in Swarm Robotics

Adham Atyabi, David Powers

    Research output: Contribution to conferencePaper

    5 Citations (Scopus)

    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.

    Original languageEnglish
    Pages591-596
    Number of pages6
    DOIs
    Publication statusPublished - 2010
    EventEleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010) -
    Duration: 7 Dec 2010 → …

    Conference

    ConferenceEleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)
    Period7/12/10 → …

    Keywords

    • Area extended particle swarm optimization
    • Swarm robotics

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  • Cite this

    Atyabi, A., & Powers, D. (2010). The Use of Area Extended Particle Swarm Optimization (AEPSO) in Swarm Robotics. 591-596. Paper presented at Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), . https://doi.org/10.1109/ICARCV.2010.5707854