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Harmony Search Algorithm for Partner Selection in Virtual Enterprise

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 244))

Abstract

Partner selection and optimization is one of key factors in building virtual enterprise, which have impact on the success of virtual enterprise. This paper analyzed the process of selecting partners and established the optimization model for partner selection. This paper applied harmony search (HS) algorithm into the optimization model, the results show that the HS algorithm has better performance than genetic algorithm. Also, sensitivity analysis of HS parameters was performed to obtain a better idea of algorithm parameter values.

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References

  1. Wei, Z., Lin, X.K., Yi, Z.: A genetic algorithm focusing on the problem of partner selection in agile manufacturing. Journal of Harbin Institute of Technology 42(9), 1500–1503 (2010) (in Chinese)

    Google Scholar 

  2. Wu, H.G.: Generalized genetic differential evolution for partner selection of supply chain. J. Computer Engineering and Applications 46(25), 246–248 (2010) (in Chinese)

    Google Scholar 

  3. Xian, T.W., Yu, C.: Selective methods of collaborative manufacturing strategic partners among enterprises based on genetic algorithm. Journal of Jiangsu University of Science and Technology (Natural Science Edition) 23(5), 399–403 (2009) (in Chinese)

    Google Scholar 

  4. Jun, L., Yi, C.X.: Solving Method of Agent Coalition Problem Based on Hybrid Ant Colony and Genetic Algorithm. J. Computer Science 36(4), 227–230 (2009) (in Chinese)

    Google Scholar 

  5. Hong, S.W., Xiong, F.Y.: Networked Manufacturing Resource Optimized Allocation for Mass Customization. Journal of Nanjing University of Science and Technology (Natural Science) 34(2), 238–247 (2010) (in Chinese)

    Google Scholar 

  6. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A New Heuristic Optimization Algorithm: Harmony Search. Simulation, the Society for Modeling and Simulation International 76(2), 60–68 (2001)

    Article  Google Scholar 

  7. Geem, Z.W., Kim, J.H., Loganathan, G.V.: Harmony Search Optimization: Application to Pipe Network Design. International Journal of Modelling and Simulation 22(2), 125–133 (2002)

    Google Scholar 

  8. Geem, Z.W.: Optimal Cost design of water Distribution Networks using harmony Search. Engineering Optimization 38(3), 259–280 (2006)

    Article  Google Scholar 

  9. Saka, M.P.: Optimum Geometry Design of Geodesic Domes Using Harmony Search Algorithm. Advances in Structural Engineering 10(6) (2007)

    Google Scholar 

  10. Vasebi, A., Fesanghary, M., Bathaee, S.M.T.: Combined heat and power economic dispatch by harmony search algorithm. Int. J. Electrical Power Energy Syst. 29, 713–719 (2007)

    Article  Google Scholar 

  11. Fesanghary, M., Mahdavi, M., Minary, M., Alizadeh, Y.: Hybridizing harmony search algo-rithm with sequential quadratic programming for engineering optimization problems. Comput. Methods Appl. Mech. Eng. 197, 3080–3091 (2008)

    Article  MATH  Google Scholar 

  12. 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 

  13. Omran, M.G.H., Mahdavi, M.: Global-best harmony search, Appl. Math. Comput. 198, 643–656 (2008)

    MathSciNet  MATH  Google Scholar 

  14. dos Santos Coelho, L., de Andrade Bernert, D.L.: An improved harmony search algorithm for synchronization of discrete-time chaotic systems. Chaos, Solitons and Fractals 41, 2526–2532 (2009)

    Article  MATH  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhao, Zf., Ma, Lx., Qu, Wl., Xu, Jw., Hu, Jc. (2011). Harmony Search Algorithm for Partner Selection in Virtual Enterprise. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27452-7_29

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  • DOI: https://doi.org/10.1007/978-3-642-27452-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27451-0

  • Online ISBN: 978-3-642-27452-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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