Swarm Intelligent in Bio-Inspired Perspective: A Summary

Nyayu Husni Latifah (Politeknik Negeri Sriwijaya)
Ade Silvia (Politeknik Negeri Sriwijaya)
Ekawati Prihatini (Politeknik Negeri Sriwijaya)
Siti Nurmaini (Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya,)
Irsyadi Yani (Mechanical Engineering Department, Faculty of Engineering, Universitas Sriwijaya)

ComEngApp : Computer Engineering and Applications Journal
Vol 7 No 2 (2018)

This paper summarizes the research performed in the field of swarm intelligent in recent years. The classification of swarm intelligence based on behavior is introduced. The principles of each behaviors, i.e. foraging, aggregating, gathering, preying, echolocation, growth, mating, clustering, climbing, brooding, herding, and jumping are described. 3 algorithms commonly used in swarm intelligent are discussed. At the end of summary, the applications of the SI algorithms are presented.