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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1531
Title: A VERSATILE APPROACH FORSCHEDULING USING BEE COLONYOPTIMIZATION (BCO) ALGORITHMS
Other Titles: Proceeding on Second National Conference on “Intelligent Computing” (SNCIC-2011).
Authors: T, Hashni
Keywords: Swarm Intelligence (SI)
ArtificialIntelligence (AI)
Bee Colony Optimization(BCO)
Scheduling
Issue Date: 29-Jul-2011
Publisher: Allied Publishers Pvt.Ltd
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.
URI: http://localhost:8080/xmlui/handle/123456789/1531
ISBN: 978-81-8424-707-7
Appears in Collections:National Conference

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