A Bipartite Genetic Algorithm for Multi-processor Task Scheduling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s10766-009-0107-8.pdf
Reference51 articles.
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3. Bonyadi, M.R., Rahimi Azghadi, M., Hashemi, S., Ebrahimi Moghadam, M.: A hybrid multiprocessor task scheduling method based on immune genetic algorithm. In: Qshine 2008 Workshop on Artificial Intelligence in Grid Computing (2008). doi: 10.4108/ICST.QSHINE2008.4263
4. Braun T.D., Siegel H.J., Beck N.: A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems. J. Parallel Distrib. Comput. 61, 810–837 (2001). doi: 10.1006/jpdc.2000.1714
5. Chen, H.,Cheng, A.K.: Applying ant colony optimization to the partitioned scheduling problem for heterogeneous multiprocessors. Special Issue: IEEE RTAS 2005 Work-in-Progress, vol. 2, issue 2, pp. 11–14 (2005)
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