A VERSATILE APPROACH FORSCHEDULING USING BEE COLONYOPTIMIZATION (BCO) ALGORITHMS

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DC Field	Value	Language
dc.contributor.author	T, Hashni	-
dc.date.accessioned	2020-09-16T04:58:17Z	-
dc.date.available	2020-09-16T04:58:17Z	-
dc.date.issued	2011-07-29	-
dc.identifier.isbn	978-81-8424-707-7	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1531	-
dc.description.abstract	Swarm Intelligence (SI) is a branch of ArtificialIntelligence (AI), it is collective behavior ofsocial insect colonies and other animal societies.It designs algorithms for distributed problem-solving devices by using behavior of insects. BeeColony Optimization (BCO) is one of the recenttrends in the swarm Intelligence, has beensuccessfully applied to many combinatorialoptimization problems, mostly in transportation,location and scheduling fields. This paperdiscusses various types of scheduling, BeeColony Optimization (BCO) algorithms and itfocuses on scheduling using BCO algorithms.	en_US
dc.language.iso	en	en_US
dc.publisher	Allied Publishers Pvt.Ltd	en_US
dc.subject	Swarm Intelligence (SI)	en_US
dc.subject	ArtificialIntelligence (AI)	en_US
dc.subject	Bee Colony Optimization(BCO)	en_US
dc.subject	Scheduling	en_US
dc.title	A VERSATILE APPROACH FORSCHEDULING USING BEE COLONYOPTIMIZATION (BCO) ALGORITHMS	en_US
dc.title.alternative	Proceeding on Second National Conference on “Intelligent Computing” (SNCIC-2011).	en_US
dc.type	Book	en_US
Appears in Collections:	National Conference

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