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Independent Task Scheduling Based on Improved Harmony Search Algorithm

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Advances in Swarm Intelligence (ICSI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7332))

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Abstract

Harmony Search Algorithm (HS) is a novel global heuristic algorithm with the characteristic of good robustness and quick convergence, it is also an effective algorithm to solve combinatorial problems. After the basic theory of HS is introduced, an independent task scheduling of multiprocessors algorithm based on an improved harmony search algorithm is proposed in this paper. The mechanisms involved are employing list scheduling and harmony vector is converted to priority-based scheduling model. The simulation results demonstrate that the proposed algorithm improves the abilities of seeking the global search and evolution speed, and the effect of simulation is satisfactory.

Liaocheng University Research Project Foundation. (X10018). Shandong Province Higher Educational Science and Technology Project(J11LG02)

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References

  1. Sinnen, O., Sousa, L.A., Sandnes, F.E.: Toward a realistic task scheduling model. IEEE Transactions on Parallel and Distributed Systems 17, 263–275 (2006)

    Article  Google Scholar 

  2. Geem, Z., Kim, J., Loganathan, G.: A new heuristic optimization algorithm: harmony search. Simulation 76, 60–68 (2001)

    Article  Google Scholar 

  3. Geem, Z.: Optimal cost design of water distribution networks using harmony search. Engineering Optimization 38, 259–280 (2006)

    Article  Google Scholar 

  4. Geem, Z., Kim, J., Loganathan, G.: A new heuristic optimization: application to pipe network design. International Journal of Model Simulation 22, 125–133 (2002)

    Google Scholar 

  5. Kim, J., Geem, Z., Kim, E.: Parameter estimation of the nonlinear Muskingum model using harmony search. Journal of American Water Resource Association 37, 1131–1138 (2001)

    Article  Google Scholar 

  6. Shang, G., Jingyu, Y.: Solving Multiprocessor Scheduling Problem by Particle Swarm Optimization Algorithm. Computer Engineering and Appiication 41, 72–73 (2005)

    Google Scholar 

  7. Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation 188, 1567–1579 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Omran, M.G.H., Mahdavi, M.: Global-best harmony search Applied. Mathematics and Computation 198, 643–656 (2008)

    Article  MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. College of Computer Science, Liaocheng University, Liaocheng, P.R. China

    Hua Jiang & Liping Zheng

  2. HiTeam Institute of Software Engineering, Jinan, P.R. China

    Yanxiu Liu

Authors
  1. Hua Jiang
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  2. Liping Zheng
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  3. Yanxiu Liu
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China

    Zhen Ji

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© 2012 Springer-Verlag Berlin Heidelberg

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Jiang, H., Zheng, L., Liu, Y. (2012). Independent Task Scheduling Based on Improved Harmony Search Algorithm. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_44

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  • DOI: https://doi.org/10.1007/978-3-642-31020-1_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31019-5

  • Online ISBN: 978-3-642-31020-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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