Authors: Davidović, Tatjana 
Selmić, Milica
Teodorović, Dušan
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Scheduling independent tasks: Bee Colony Optimization approach
Journal: 2009 17th Mediterranean Conference on Control and Automation
First page: 10777008
Conference: 17th Mediterranean Conference on Control and Automation; Thessaloniki, Greece; 24-26 June 2009
Issue Date: 2009
Rank: M30
ISBN: 978-1-4244-4684-1
DOI: 10.1109/MED.2009.5164680
Abstract: 
The problem of static scheduling of independent tasks on homogeneous multiprocessor systems is studied in this paper. The problem is solved by the bee colony optimization (BCO). The BCO algorithm belongs to the class of stochastic swarm optimization methods. The proposed algorithm is inspired by the foraging habits of bees in the nature. The BCO algorithm was able to obtain the optimal value of objective function in all small to medium size test problems. The CPU times required to find the best solutions by the BCO are acceptable.
Keywords: Processor scheduling | Multiprocessing systems | Testing | Scheduling algorithm | Insects | Recruitment | Space exploration | Automatic control | Automation | Stochastic processes
Publisher: IEEE

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