The use of area extended particle swarm optimization (AEPSO) in swarm robotics

摘要

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.