Cite Them Right 11th edition - Harvard

Favuzza, S., Graditi, G. und Sanseverino, E.R. (2006) „Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement Strategy.“, Applied Intelligence, 24(1), S. 31-42. doi:10.1007/s10489-006-6927-y.

Chicago Manual of Style 17th edition (full note)

Favuzza, S., G. Graditi, und E. Riva Sanseverino. „Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement Strategy.“. Applied Intelligence 24, Nr. 1 (1. Februar 2006): 31-42. https://doi.org/10.1007/s10489-006-6927-y.

American Psychological Association 7th edition

Favuzza, S., Graditi, G., & Sanseverino, E. R. (2006). Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement Strategy. Applied Intelligence, 24(1), 31-42. https://doi.org/10.1007/s10489-006-6927-y

Modern Language Association 9th edition

Favuzza, S., G. Graditi, und E. R. Sanseverino. „Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement Strategy.“. Applied Intelligence, Bd. 24, Nr. 1, Februar 2006, S. 31-42, https://doi.org/10.1007/s10489-006-6927-y.

ISO-690 (author-date, Deutsch)

FAVUZZA, S., G. GRADITI und E. Riva SANSEVERINO, 2006. Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement Strategy. Applied Intelligence. 1 Februar 2006. Bd. 24, Nr. 1, S. 31-42. DOI 10.1007/s10489-006-6927-y

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.