DocumentCode
3309607
Title
Towards Scheduling Optimization through Artificial Bee Colony Approach
Author
Madureira, A. ; Pereira, I. ; Abraham, Ajith
Author_Institution
GECAD Res. Group, Polytech. Inst. of Porto, Porto, Portugal
fYear
2013
fDate
12-14 Aug. 2013
Firstpage
253
Lastpage
258
Abstract
In this paper an Artificial Bee Colony Approach for Scheduling Optimization is presented. The adequacy of the proposed approach is validated on the minimization of the total weighted tardiness for a set of jobs to be processed on a single machine and on a set of instances for Job-Shop scheduling problem. The obtained computational results allowed concluding about their efficiency and effectiveness. The ABC performance and respective statistical significance was evaluated.
Keywords
artificial intelligence; computational complexity; job shop scheduling; minimisation; statistical analysis; ABC performance; NP-complete scheduling problems; artificial bee colony approach; job-shop scheduling problem; scheduling optimization; statistical significance; swarm intelligence; total weighted tardiness minimization; Minimization; Artificial Bee Colony; Optimization; Scheduling; Self-organization; Swarm Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature and Biologically Inspired Computing (NaBIC), 2013 World Congress on
Conference_Location
Fargo, ND
Print_ISBN
978-1-4799-1414-2
Type
conf
DOI
10.1109/NaBIC.2013.6617872
Filename
6617872
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