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

Adham Atyabi; David Powers

doi:10.1109/ICARCV.2010.5707854

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

Adham Atyabi, David Powers

Research output: Contribution to conference › Paper › peer-review

10 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 language	English
Pages	591-596
Number of pages	6
DOIs	https://doi.org/10.1109/ICARCV.2010.5707854
Publication status	Published - 2010
Event	Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010) - Duration: 7 Dec 2010 → …

Conference

Conference	Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)
Period	7/12/10 → …

Keywords

Area extended particle swarm optimization
Swarm robotics

Access to Document

10.1109/ICARCV.2010.5707854

Cite this

@conference{1f2371a15f614a748eba017409ec5e67,

title = "The Use of Area Extended Particle Swarm Optimization (AEPSO) in Swarm Robotics",

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.",

keywords = "Area extended particle swarm optimization, Swarm robotics",

author = "Adham Atyabi and David Powers",

year = "2010",

doi = "10.1109/ICARCV.2010.5707854",

language = "English",

pages = "591--596",

note = "Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010) ; Conference date: 07-12-2010",

}

TY - CONF

T1 - The Use of Area Extended Particle Swarm Optimization (AEPSO) in Swarm Robotics

AU - Atyabi, Adham

AU - Powers, David

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Area extended particle swarm optimization

KW - Swarm robotics

UR - http://www.scopus.com/inward/record.url?scp=79952374410&partnerID=8YFLogxK

U2 - 10.1109/ICARCV.2010.5707854

DO - 10.1109/ICARCV.2010.5707854

M3 - Paper

SP - 591

EP - 596

T2 - Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)

Y2 - 7 December 2010

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this