id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_g62e2dobdngjhn2zvfq6rzqmey	Changsheng Zhang	An artificial bee colony approach for clustering	2010	3	.pdf	application/pdf	2124	221	68	real datasets and compared with other popular heuristics algorithm in clustering, such as GA, SA, TS, such as birds, ants, and bees for the purpose of search and optimization has become an emerging area of swarm intelligence and successfully applied to clustering. bee colony (ABC) algorithm based on the foraging behavior of 3. Artificial bee colony based clustering Scouts search the environment surrounding the nest for new food sources, and onlookers wait in A food source represents a possible solution to the problem to be optimized. In other words, the number of employed bees is equal to the number of food sources around the hive. The employed bee whose food source has been abandoned by the As other social foragers, bees search for food sources in a way Every food source has only one employed bee. number of employed bees is equal to the number of food sources.	./cache/work_g62e2dobdngjhn2zvfq6rzqmey.pdf	./txt/work_g62e2dobdngjhn2zvfq6rzqmey.txt