2012 | OriginalPaper | Buchkapitel
Performance of Bacterial Foraging Optimization in Dynamic Environments
verfasst von : Jade Abbott, Andries P. Engelbrecht
Erschienen in: Swarm Intelligence
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The bacterial foraging optimization (BFO) algorithm is a new complex, swarm-based optimization algorithm. The algorithm has shown to be successful in static environments; however there is little research available on analysis of its performance in dynamic environments. The aim of this article is to conduct an elaborate empirical analysis of BFO in a number of dynamic environments. Additionally, a modification to BFO is proposed to improve BFO’s performance in dynamic environments.