Auflistung nach Schlagwort "Particle swarm optimization"
1 - 2 von 2
Treffer pro Seite
Sortieroptionen
- ZeitschriftenartikelSub-daily Staff Scheduling for a Logistics Service Provider(KI - Künstliche Intelligenz: Vol. 24, No. 2, 2010) Günther, Maik; Nissen, VolkerThe current paper uses a scenario from logistics to show that solution approaches based on metaheuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of staff scheduling in practice. Sub-daily planning, which is the focus of our research offers considerable productivity reserves for companies but also creates complex challenges for the planning software. Modifications of the traditional PSO method are required for a successful application to scheduling software. Results are compared to different variants of the evolution strategy (ES). Both metaheuristics significantly outperform manual planning, with PSO delivering the best overall results.
- ZeitschriftenartikelTheory of particle swarm optimization: A survey of the power of the swarm’s potential(it - Information Technology: Vol. 61, No. 4, 2019) Bassimir, Bernd; Raß, Alexander; Schmitt, ManuelThis paper presents a survey on different showcases for potential measures on particle swarm optimization (PSO). First, a potential is analyzed to prove convergence to non-optimal points. Second, one can apply a minor modification to PSO to prevent convergence to non-optimal points by using an easy potential measure. Finally, analyzing this potential measure yields a reliable stopping criterion for the modified PSO.