The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
Abstract— Peer-to-peer based distributed computing environments can be expected to be dynamic to greater of lesser degree. While node losses will not usually lead to catastrophic...
— The localization of mobile systems with video data is a challenging field in robotic vision research. Apart from artificial environmental support technologies like GPS locali...
Abstract. This paper presents and discusses the results of the latest developments of the MapPSO system, which is an ontology alignment approach that is based on discrete particle ...