期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：4
页码：8047
DOI：10.15680/IJIRCCE.2017.0504084
出版社：S&S Publications
摘要：Swarm Intelligence can be defined as a branch of artificial intelligence used for analyzing the behaviorof swarm in nature. Here, a swarm is a large number of homogenous, simple agents interacting locally amongthemselves, and their environment. The social interactions among them can either be direct interactions or indirectinteractions. Some examples of direct interactions are visual or audio contact, like the dance of honey bees. Andexamples of indirect interaction occurs when one individual changes the environment and the other individual respondto the new environment, like that of pheromone trails of ants which they deposit on their way while they are in searchof some food. Some of the examples in natural system swarm intelligence includes ant colonies, bird flocking, bacterialgrowth, and also the microbiological intelligence. This paper comprises a brief about particle swarm optimizationalgorithm with its applications.
